GCN Explained | Papers With Code

Graph Convolutional Network

Introduced by Kipf et al. in Semi-Supervised Classification with Graph Convolutional Networks

A Graph Convolutional Network, or GCN, is an approach for semi-supervised learning on graph-structured data. It is based on an efficient variant of convolutional neural networks which operate directly on graphs. The choice of convolutional architecture is motivated via a localized first-order approximation of spectral graph convolutions. The model scales linearly in the number of graph edges and learns hidden layer representations that encode both local graph structure and features of nodes.

Source: Semi-Supervised Classification with Graph Convolutional Networks

Paper

Latest Papers

PAPER	DATE
AVGCN: Trajectory Prediction using Graph Convolutional Networks Guided by Human Attention Congcong Liu • Yuying Chen • Ming Liu • Bertram E. Shi	2021-01-14
SPAGAN: Shortest Path Graph Attention Network \| Yiding Yang • Xinchao Wang • Mingli Song • Junsong Yuan • DaCheng Tao	2021-01-10
TGCN: Time Domain Graph Convolutional Network for Multiple Objects Tracking Jie Zhang	2021-01-06
Generalizing Graph Convolutional Networks Anonymous	2021-01-01
Memory Augmented Design of Graph Neural Networks Anonymous	2021-01-01
GraphCGAN: Convolutional Graph Neural Network with Generative Adversarial Networks Anonymous	2021-01-01
Simple Spectral Graph Convolution \| Anonymous # 1 NODE CLUSTERING ON PUBMED	2021-01-01
Communication-Efficient Sampling for Distributed Training of Graph Convolutional Networks Anonymous	2021-01-01
The Card Shuffling Hypotheses: Building a Time and Memory Efficient Graph Convolutional Network Anonymous	2021-01-01
A spectral perspective on GCNs Anonymous	2021-01-01
BDS-GCN: Efficient Full-Graph Training of Graph Convolutional Nets with Partition-Parallelism and Boundary Sampling Anonymous	2021-01-01
SoGCN: Second-Order Graph Convolutional Networks Anonymous	2021-01-01
A Unified Framework for Convolution-based Graph Neural Networks Anonymous	2021-01-01
FASG: Feature Aggregation Self-training GCN for Semi-supervised Node Classification Anonymous	2021-01-01
Towards Powerful Graph Neural Networks: Diversity Matters Anonymous	2021-01-01
DeeperGCN: Training Deeper GCNs with Generalized Aggregation Functions Anonymous	2021-01-01
MrGCN: Mirror Graph Convolution Network for Relation Extraction with Long-Term Dependencies Xiao Guo • I-Hung Hsu • Wael AbdAlmageed • Premkumar Natarajan • Nanyun Peng	2021-01-01
Action Recognition with Kernel-based Graph Convolutional Networks Hichem Sahbi	2020-12-28
Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation Ling Zhou • Qirong Mao • Ming Dong	2020-12-24
Graph Autoencoders with Deconvolutional Networks Jia Li • Tomas Yu • Da-Cheng Juan • Arjun Gopalan • Hong Cheng • Andrew Tomkins	2020-12-22
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos \| Yu Cheng • Bo wang • Bo Yang • Robby T. Tan	2020-12-22
Temporal Relational Modeling with Self-Supervision for Action Segmentation \| Dong Wang • Di Hu • Xingjian Li • Dejing Dou # 4 ACTION SEGMENTATION ON BREAKFAST	2020-12-14
I-GCN: Robust Graph Convolutional Network via Influence Mechanism Haoxi Zhan • Xiaobing Pei	2020-12-11
Multi Scale Temporal Graph Networks For Skeleton-based Action Recognition Tingwei Li • Ruiwen Zhang • Qing Li	2020-12-05
A Targeted Universal Attack on Graph Convolutional Network \| Jiazhu Dai • Weifeng Zhu • Xiangfeng Luo	2020-11-29
Learning to dance: A graph convolutional adversarial network to generate realistic dance motions from audio \| João P. Ferreira • Thiago M. Coutinho • Thiago L. Gomes • José F. Neto • Rafael Azevedo • Renato Martins • Erickson R. Nascimento	2020-11-25
Distributed Scheduling using Graph Neural Networks \| Zhongyuan Zhao • Gunjan Verma • Chirag Rao • Ananthram Swami • Santiago Segarra	2020-11-18
MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks Tao Huang • Yihan Zhang • Jiajing Wu • Junyuan Fang • Zibin Zheng	2020-11-17
On the equivalence of molecular graph convolution and molecular wave function with poor basis set \| Masashi Tsubaki • Teruyasu Mizoguchi	2020-11-16
Optimizing Large-Scale Fleet Management on a Road Network using Multi-Agent Deep Reinforcement Learning with Graph Neural Network Juhyeon Kim	2020-11-12
VStreamDRLS: Dynamic Graph Representation Learning with Self-Attention for Enterprise Distributed Video Streaming Solutions \| Stefanos Antaris • Dimitrios Rafailidis	2020-11-11
Rediscovering alignment relations with Graph Convolutional Networks \| Pierre Monnin • Chedy Raïssi • Amedeo Napoli • Adrien Coulet	2020-11-11
On the spatial attention in Spatio-Temporal Graph Convolutional Networks for skeleton-based human action recognition Negar Heidari • Alexandros Iosifidis	2020-11-07
Single-Node Attack for Fooling Graph Neural Networks \| Ben Finkelshtein • Chaim Baskin • Evgenii Zheltonozhskii • Uri Alon	2020-11-06
Geometric Scattering Attention Networks \| Yimeng Min • Frederik Wenkel • Guy Wolf	2020-10-28
Event Detection: Gate Diversity and Syntactic Importance Scoresfor Graph Convolution Neural Networks Viet Dac Lai • Tuan Ngo Nguyen • Thien Huu Nguyen	2020-10-27
GraphMDN: Leveraging graph structure and deep learning to solve inverse problems Tuomas P. Oikarinen • Daniel C. Hannah • Sohrob Kazerounian	2020-10-26
Video-based Facial Expression Recognition using Graph Convolutional Networks Daizong Liu • Hongting Zhang • Pan Zhou	2020-10-26
A Simple Spectral Failure Mode for Graph Convolutional Networks Carey E. Priebe • Cencheng Shen • Ningyuan Huang • Tianyi Chen	2020-10-25
Co-embedding of Nodes and Edges with Graph Neural Networks Xiaodong Jiang • Ronghang Zhu • Pengsheng Ji • Sheng Li	2020-10-25
Keyphrase Extraction with Dynamic Graph Convolutional Networks and Diversified Inference Haoyu Zhang • Dingkun Long • Guangwei Xu • Pengjun Xie • Fei Huang • Ji Wang	2020-10-24
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation Hande Dong • Jiawei Chen • Fuli Feng • Xiangnan He • Shuxian Bi • Zhaolin Ding • Peng Cui	2020-10-23
Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition Negar Heidari • Alexandros Iosifidis	2020-10-23
BiTe-GCN: A New GCN Architecture via BidirectionalConvolution of Topology and Features on Text-Rich Networks Di Jin • Xiangchen Song • Zhizhi Yu • Ziyang Liu • Heling Zhang • Zhaomeng Cheng • Jiawei Han	2020-10-23
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method Fuli Feng • Weiran Huang • Xin Xin • Xiangnan He • Tat-Seng Chua	2020-10-22
Metapath- and Entity-aware Graph Neural Network for Recommendation \| Zhiwei Han • Muhammad Umer Anwaar • Shyam Arumugaswamy • Thomas Weber • Tianming Qiu • Hao Shen • Yuanting Liu • Martin Kleinsteuber	2020-10-22
Multi-view Graph Contrastive Representation Learning for Drug-Drug Interaction Prediction Yingheng Wang • Yaosen Min • Xin Chen • Ji Wu	2020-10-22
Stronger, Faster and More Explainable: A Graph Convolutional Baseline for Skeleton-based Action Recognition \| Yi-Fan Song • Zhang Zhang • Caifeng Shan • Liang Wang # 1 SKELETON BASED ACTION RECOGNITION ON NTU RGB+D 120	2020-10-20
A Graph Neural Network based approach for detecting Suspicious Users on Online Social Media Shakshi Sharma • Rajesh Sharma	2020-10-15
Locality Preserving Dense Graph Convolutional Networks with Graph Context-Aware Node Representations \| Wenfeng Liu • Maoguo Gong • Zedong Tang • A. K. Qin	2020-10-12
Lightweight, Dynamic Graph Convolutional Networks for AMR-to-Text Generation \| Yan Zhang • Zhijiang Guo • Zhiyang Teng • Wei Lu • Shay B. Cohen • Zuozhu Liu • Lidong Bing	2020-10-09
Data-Driven Learning of Geometric Scattering Networks Alexander Tong • Frederik Wenkel • Kincaid MacDonald • Smita Krishnaswamy • Guy Wolf	2020-10-06
A Unified View on Graph Neural Networks as Graph Signal Denoising Yao Ma • Xiaorui Liu • Tong Zhao • Yozen Liu • Jiliang Tang • Neil Shah	2020-10-05
ResGCN: Attention-based Deep Residual Modeling for Anomaly Detection on Attributed Networks Yulong Pei • Tianjin Huang • Werner van Ipenburg • Mykola Pechenizkiy	2020-09-30
Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks Uday Shankar Shanthamallu • Jayaraman J. Thiagarajan • Andreas Spanias	2020-09-30
Semi-Supervised Node Classification by Graph Convolutional Networks and Extracted Side Information \| Mohammad Esmaeili • Aria Nosratinia	2020-09-29
Graph Neural Networks with Heterophily Jiong Zhu • Ryan A. Rossi • Anup Rao • Tung Mai • Nedim Lipka • Nesreen K. Ahmed • Danai Koutra	2020-09-28
Rubik: A Hierarchical Architecture for Efficient Graph Learning Xiaobing Chen • yuke wang • Xinfeng Xie • Xing Hu • Abanti Basak • Ling Liang • Mingyu Yan • Lei Deng • Yufei Ding • Zidong Du • Yunji Chen • Yuan Xie	2020-09-26
Revisiting Graph Convolutional Network on Semi-Supervised Node Classification from an Optimization Perspective Hongwei Zhang • Tijin Yan • Zenjun Xie • Yuanqing Xia • Yuan Zhang	2020-09-24
Explainable, Stable, and Scalable Graph Convolutional Networks for Learning Graph Representation Ping-En Lu • Cheng-Shang Chang	2020-09-22
Multi-Level Graph Convolutional Network with Automatic Graph Learning for Hyperspectral Image Classification Sheng Wan • Chen Gong • Shirui Pan • Jie Yang • Jian Yang	2020-09-19
A Hybrid Classification Approach using Topic Modeling and Graph Convolution Networks \| Thoudam Doren Singh • Divyansha • Apoorva Vikram Singh • Abdullah Faiz Ur Rahman Khilji	2020-09-19
Image Retrieval for Structure-from-Motion via Graph Convolutional Network Shen Yan • Yang Pen • Shiming Lai • Yu Liu • Maojun Zhang	2020-09-17
CatGCN: Graph Convolutional Networks with Categorical Node Features Weijian Chen • Fuli Feng • Qifan Wang • Xiangnan He • Chonggang Song • Guohui Ling • Yongdong Zhang	2020-09-11
Devil's in the Details: Aligning Visual Clues for Conditional Embedding in Person Re-Identification \| Fufu Yu • Xinyang Jiang • Yifei Gong • Shizhen Zhao • Xiaowei Guo • Wei-Shi Zheng • Feng Zheng • Xing Sun # 3 PERSON RE-IDENTIFICATION ON MSMT17	2020-09-11
Semantic-preserving Reinforcement Learning Attack Against Graph Neural Networks for Malware Detection Lan Zhang • Peng Liu • Yoon-Ho Choi	2020-09-11
Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification \| Yunsheng Shi • Zhengjie Huang • Wenjin Wang • Hui Zhong • Shikun Feng • Yu Sun # 1 NODE CLASSIFICATION ON OGBN-PRODUCTS	2020-09-08
Visual Object Tracking by Segmentation with Graph Convolutional Network Bo Jiang • Panpan Zhang • Lili Huang	2020-09-05
Self-supervised Smoothing Graph Neural Networks Lu Yu • Shichao Pei • Chuxu Zhang • Lizhong Ding • Jun Zhou • Longfei Li • Xiangliang Zhang # 1 NODE CLASSIFICATION ON PUBMED WITH PUBLIC SPLIT: FIXED 20 NODES PER CLASS	2020-09-02
Learning Robust Node Representations on Graphs Xu Chen • Ya zhang • Ivor Tsang • Yuangang Pan	2020-08-26
TSAM: Temporal Link Prediction in Directed Networks based on Self-Attention Mechanism Jinsong Li • Jianhua Peng • Shuxin Liu • Lintianran Weng • Cong Li	2020-08-23
Graph Convolutional Networks Reveal Neural Connections Encoding Prosthetic Sensation Vivek Subramanian • Joshua Khani	2020-08-23
Tackling Over-Smoothing for General Graph Convolutional Networks \| Wenbing Huang • Yu Rong • Tingyang Xu • Fuchun Sun • Junzhou Huang	2020-08-22
Training Matters: Unlocking Potentials of Deeper Graph Convolutional Neural Networks Sitao Luan • Mingde Zhao • Xiao-Wen Chang • Doina Precup	2020-08-20
Alleviating Human-level Shift : A Robust Domain Adaptation Method for Multi-person Pose Estimation \| Xixia Xu • Qi Zou • Xue Lin	2020-08-13
Richly Activated Graph Convolutional Network for Robust Skeleton-based Action Recognition \| Yi-Fan Song • Zhang Zhang • Caifeng Shan • Liang Wang # 10 SKELETON BASED ACTION RECOGNITION ON NTU RGB+D 120	2020-08-09
Multivariate Relations Aggregation Learning in Social Networks Jin Xu • Shuo Yu • Ke Sun • Jing Ren • Ivan Lee • Shirui Pan • Feng Xia	2020-08-09
Graph Convolutional Networks for Hyperspectral Image Classification \| Danfeng Hong • Lianru Gao • Jing Yao • Bing Zhang • Antonio Plaza • Jocelyn Chanussot	2020-08-06
Compact Graph Architecture for Speech Emotion Recognition A. Shirian • T. Guha	2020-08-05
Pseudoinverse Graph Convolutional Networks: Fast Filters Tailored for Large Eigengaps of Dense Graphs and Hypergraphs Dominik Alfke • Martin Stoll	2020-08-03
Relation Extraction with Self-determined Graph Convolutional Network Sunil Kumar Sahu • Derek Thomas • Billy Chiu • Neha Sengupta • Mohammady Mahdy	2020-08-02
Improving Skeleton-based Action Recognitionwith Robust Spatial and Temporal Features Zeshi Yang • KangKang Yin	2020-08-01
Mix Dimension in Poincaré Geometry for 3D Skeleton-based Action Recognition Wei Peng • Jingang Shi • Zhaoqiang Xia • Guoying Zhao # 9 SKELETON BASED ACTION RECOGNITION ON NTU RGB+D	2020-07-30
flexgrid2vec: Learning Efficient Visual Representations Vectors Ali Hamdi • Du Yong Kim • Flora D. Salim	2020-07-30
Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition Fanfan Ye • ShiLiang Pu • Qiaoyong Zhong • Chao Li • Di Xie • Huiming Tang	2020-07-29
The spring bounces back: Introducing the Strain Elevation Tension Spring embedding algorithm for network representation \| Jonathan Bourne	2020-07-18
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective Qiang Liu • Haoli Zhang • Zhaocheng Liu	2020-07-17
Deep Learning for Abstract Argumentation Semantics \| Dennis Craandijk • Floris Bex	2020-07-15
Distributed Training of Graph Convolutional Networks Simone Scardapane • Indro Spinelli • Paolo Di Lorenzo	2020-07-13
Graph Convolutional Networks for Graphs Containing Missing Features \| Hibiki Taguchi • Xin Liu • Tsuyoshi Murata	2020-07-09
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation Florence Regol • Soumyasundar Pal • Yingxue Zhang • Mark Coates	2020-07-09
RGCF: Refined Graph Convolution Collaborative Filtering with concise and expressive embedding \| Kang Liu • Feng Xue • Richang Hong	2020-07-07
GE-SpMM: General-purpose Sparse Matrix-Matrix Multiplication on GPUs for Graph Neural Networks Guyue Huang • Guohao Dai • Yu Wang • Huazhong Yang	2020-07-07
Simple and Deep Graph Convolutional Networks \| Ming Chen • Zhewei Wei • Zengfeng Huang • Bolin Ding • Yaliang Li # 1 NODE CLASSIFICATION ON CORA WITH PUBLIC SPLIT: FIXED 20 NODES PER CLASS	2020-07-04
Structure-Aware Human-Action Generation \| Ping Yu • Yang Zhao • Chunyuan Li • Junsong Yuan • Changyou Chen # 1 HUMAN ACTION GENERATION ON NTU RGB+D	2020-07-04
Neural Reranking for Dependency Parsing: An Evaluation Bich-Ngoc Do • Ines Rehbein	2020-07-01
HGCN4MeSH: Hybrid Graph Convolution Network for MeSH Indexing Miaomiao Yu • Yujiu Yang • Chenhui Li	2020-07-01
Enhancing the Association in Multi-Object Tracking via Neighbor Graph Tianyi Liang • Long Lan • Zhigang Luo	2020-07-01
From Spectrum Wavelet to Vertex Propagation: Graph Convolutional Networks Based on Taylor Approximation Songyang Zhang • Han Zhang • Shuguang Cui • Zhi Ding	2020-07-01
Local Neighbor Propagation Embedding Shenglan Liu • Yang Yu	2020-06-29
Investigating and Mitigating Degree-Related Biases in Graph Convolutional Networks Xianfeng Tang • Huaxiu Yao • Yiwei Sun • Yiqi Wang • Jiliang Tang • Charu Aggarwal • Prasenjit Mitra • Suhang Wang	2020-06-28
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters \| Wenhui Yu • Zheng Qin	2020-06-28
Graph Structural-topic Neural Network \| Qingqing Long • Yilun Jin • Guojie Song • Yi Li • Wei. Lin	2020-06-25
Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning \| Hande Dong • Zhaolin Ding • Xiangnan He • Fuli Feng • Shuxian Bi	2020-06-23
Connecting Graph Convolutional Networks and Graph-Regularized PCA Lingxiao Zhao • Leman Akoglu	2020-06-22
Relational Fusion Networks: Graph Convolutional Networks for Road Networks \| Tobias Skovgaard Jepsen • Christian S. Jensen • Thomas Dyhre Nielsen	2020-06-16
Generalized Multi-Relational Graph Convolution Network \| Donghan Yu • Yiming Yang • Ruohong Zhang • Yuexin Wu	2020-06-12
Locally Private Graph Neural Networks \| Sina Sajadmanesh • Daniel Gatica-Perez	2020-06-09
On the Bottleneck of Graph Neural Networks and its Practical Implications \| Uri Alon • Eran Yahav	2020-06-09
Semantic Graph-enhanced Visual Network for Zero-shot Learning Yang Hu • Guihua Wen • Adriane Chapman • Pei Yang • Mingnan Luo • Yingxue Xu • Dan Dai • Wendy Hall	2020-06-08
Single-Layer Graph Convolutional Networks For Recommendation Yue Xu • Hao Chen • Zengde Deng • Junxiong Zhu • Yanghua Li • Peng He • Wenyao Gao • Wenjun Xu	2020-06-07
Self-supervised Training of Graph Convolutional Networks \| Qikui Zhu • Bo Du • Pingkun Yan	2020-06-03
Skeleton-Based Action Recognition With Shift Graph Convolutional Network \| Ke Cheng • Yifan Zhang • Xiangyu He • Weihan Chen • Jian Cheng • Hanqing Lu # 4 SKELETON BASED ACTION RECOGNITION ON NTU RGB+D	2020-06-01
Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification Jinrui Yang • Wei-Shi Zheng • Qize Yang • Ying-Cong Chen • Qi Tian	2020-06-01
Deep graph learning for semi-supervised classification Guangfeng Lin • Xiaobing Kang • Kaiyang Liao • Fan Zhao • Yajun Chen	2020-05-29
On Incorporating Structural Information to improve Dialogue Response Generation \| Nikita Moghe • Priyesh Vijayan • Balaraman Ravindran • Mitesh M. Khapra	2020-05-28
Interpretable and Efficient Heterogeneous Graph Convolutional Network \| Yaming Yang • Ziyu Guan • Jian-Xin Li • Wei Zhao • Jiangtao Cui • Quan Wang	2020-05-27
MVIN: Learning Multiview Items for Recommendation \| Chang-You Tai • Meng-Ru Wu • Yun-Wei Chu • Shao-Yu Chu • Lun-Wei Ku	2020-05-26
Relevant Region Prediction for Crowd Counting Xinya Chen • Yanrui Bin • Changxin Gao • Nong Sang • Hao Tang	2020-05-20
Benchmark Tests of Convolutional Neural Network and Graph Convolutional Network on HorovodRunner Enabled Spark Clusters \| Jing Pan • Wendao Liu • Jing Zhou	2020-05-12
Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction Jiexia Ye • Juanjuan Zhao • Kejiang Ye • Cheng-Zhong Xu	2020-05-11
Anonymized GCN: A Novel Robust Graph Embedding Method via Hiding Node Position in Noise Ao Liu	2020-05-06
Pruned Graph Scattering Transforms Vassilis N. Ioannidis • Siheng Chen • Georgios B. Giannakis	2020-05-01
A Robust Hierarchical Graph Convolutional Network Model for Collaborative Filtering Shaowen Peng • Tsunenori Mine	2020-04-30
Motion Guided 3D Pose Estimation from Videos Jingbo Wang • Sijie Yan • Yuanjun Xiong • Dahua Lin	2020-04-29
Directed Graph Convolutional Network Zekun Tong • Yuxuan Liang • Changsheng Sun • David S. Rosenblum • Andrew Lim	2020-04-29
Contextualised Graph Attention for Improved Relation Extraction \| Angrosh Mandya • Danushka Bollegala • Frans Coenen	2020-04-22
MER-GCN: Micro Expression Recognition Based on Relation Modeling with Graph Convolutional Network Ling Lo • Hong-Xia Xie • Hong-Han Shuai • Wen-Huang Cheng	2020-04-19
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification \| Zhibin Lu • Pan Du • Jian-Yun Nie	2020-04-12
Graph Highway Networks \| Xin Xin • Alexandros Karatzoglou • Ioannis Arapakis • Joemon M. Jose	2020-04-09
A Graph Convolutional Network Composition Framework for Semi-supervised Classification Rahul Ragesh • Sundararajan Sellamanickam • Vijay Lingam • Arun Iyer	2020-04-08
Pooling in Graph Convolutional Neural Networks Mark Cheung • John Shi • Lavender Yao Jiang • Oren Wright • José M. F. Moura	2020-04-07
Efficient long-distance relation extraction with DG-SpanBERT Jun Chen • Robert Hoehndorf • Mohamed Elhoseiny • Xiangliang Zhang # 6 RELATION EXTRACTION ON TACRED	2020-04-07
FeederGAN: Synthetic Feeder Generation via Deep Graph Adversarial Nets Ming Liang • Yao Meng • Jiyu Wang • David Lubkeman • Ning Lu	2020-04-03
Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN Tingyi Wanyan • Chenwei Zhang • Ariful Azad • Xiaomin Liang • Daifeng Li • Ying Ding	2020-04-03
Semi-Supervised Cervical Dysplasia Classification With Learnable Graph Convolutional Network Yanglan Ou • Yuan Xue • Ye Yuan • Tao Xu • Vincent Pisztora • Jia Li • Xiaolei Huang	2020-04-01
L^2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks \| Yuning You • Tianlong Chen • Zhangyang Wang • Yang shen	2020-03-30
Revisiting Over-smoothing in Deep GCNs Chaoqi Yang • Ruijie Wang • Shuochao Yao • Shengzhong Liu • Tarek Abdelzaher	2020-03-30
Latent Patient Network Learning for Automatic Diagnosis Luca Cosmo • Anees Kazi • Seyed-Ahmad Ahmadi • Nassir Navab • Michael Bronstein	2020-03-27
Peeking into occluded joints: A novel framework for crowd pose estimation \| Lingteng Qiu • Xuanye Zhang • Yan-ran Li • Guanbin Li • Xiao-Jun Wu • Zixiang Xiong • Xiaoguang Han • Shuguang Cui	2020-03-23
Distilling Knowledge from Graph Convolutional Networks \| Yiding Yang • Jiayan Qiu • Mingli Song • DaCheng Tao • Xinchao Wang	2020-03-23
An Uncoupled Training Architecture for Large Graph Learning Dalong Yang • Chuan Chen • Youhao Zheng • Zibin Zheng • Shih-wei Liao	2020-03-21
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries Han Yang • Xingjian Zhen • Ying Chi • Lei Zhang • Xian-Sheng Hua	2020-03-19
Temporal Extension Module for Skeleton-Based Action Recognition Yuya Obinata • Takuma Yamamoto # 1 SKELETON BASED ACTION RECOGNITION ON KINETICS-SKELETON DATASET	2020-03-19
Scattering GCN: Overcoming Oversmoothness in Graph Convolutional Networks Yimeng Min • Frederik Wenkel • Guy Wolf	2020-03-18
ReLaText: Exploiting Visual Relationships for Arbitrary-Shaped Scene Text Detection with Graph Convolutional Networks Chixiang Ma • Lei Sun • Zhuoyao Zhong • Qiang Huo	2020-03-16
Evaluating Logical Generalization in Graph Neural Networks \| Koustuv Sinha • Shagun Sodhani • Joelle Pineau • William L. Hamilton	2020-03-14
Learning by Sampling and Compressing: Efficient Graph Representation Learning with Extremely Limited Annotations Xiaoming Liu • Qirui Li • Chao Shen • Xi Peng • Yadong Zhou • Xiaohong Guan	2020-03-13
Cross-GCN: Enhancing Graph Convolutional Network with $k$-Order Feature Interactions Fuli Feng • Xiangnan He • Hanwang Zhang • Tat-Seng Chua	2020-03-05
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning Jianhong Zhang • Manli Zhang • Zhiwu Lu • Tao Xiang • Ji-Rong Wen	2020-02-28
Semi-supervised Anomaly Detection on Attributed Graphs Atsutoshi Kumagai • Tomoharu Iwata • Yasuhiro Fujiwara	2020-02-27
MGA: Momentum Gradient Attack on Network Jinyin Chen • Yixian Chen • Haibin Zheng • Shijing Shen • Shanqing Yu • Dan Zhang • Qi Xuan	2020-02-26
Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation \| Shiyao Cui • Bowen Yu • Tingwen Liu • Zhen-Yu Zhang • Xuebin Wang • Jinqiao Shi	2020-02-25
Adaptive Propagation Graph Convolutional Network \| Indro Spinelli • Simone Scardapane • Aurelio Uncini	2020-02-24
Universal-RCNN: Universal Object Detector via Transferable Graph R-CNN Hang Xu • Linpu Fang • Xiaodan Liang • Wenxiong Kang • Zhenguo Li	2020-02-18
Unifying Graph Convolutional Neural Networks and Label Propagation \| Hongwei Wang • Jure Leskovec # 1 NODE CLASSIFICATION ON COAUTHOR CS	2020-02-17
Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs with Applications to Modeling of Cytoskeleton C. B. Scott • Eric Mjolsness	2020-02-14
The Power of Graph Convolutional Networks to Distinguish Random Graph Models: Short Version Abram Magner • Mayank Baranwal • Alfred O. Hero III	2020-02-13
Graph Universal Adversarial Attacks: A Few Bad Actors Ruin Graph Learning Models \| Xiao Zang • Yi Xie • Jie Chen • Bo Yuan	2020-02-12
Bilinear Graph Neural Network with Neighbor Interactions \| Hongmin Zhu • Fuli Feng • Xiangnan He • Xiang Wang • Yan Li • Kai Zheng • Yongdong Zhang	2020-02-10
Poisson Kernel Avoiding Self-Smoothing in Graph Convolutional Networks Ziqing Yang • Shoudong Han • Jun Zhao	2020-02-07
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation \| Xiangnan He • Kuan Deng • Xiang Wang • Yan Li • Yongdong Zhang • Meng Wang	2020-02-06
Structural Deep Clustering Network \| Deyu Bo • Xiao Wang • Chuan Shi • Meiqi Zhu • Emiao Lu • Peng Cui	2020-02-05
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach \| Lei Chen • Le Wu • Richang Hong • Kun Zhang • Meng Wang	2020-01-28
Efficient and Stable Graph Scattering Transforms via Pruning Vassilis N. Ioannidis • Siheng Chen • Georgios B. Giannakis	2020-01-27
An Ontology-Aware Framework for Audio Event Classification Yiwei Sun • Shabnam Ghaffarzadegan	2020-01-27
Simple and Effective Graph Autoencoders with One-Hop Linear Models \| Guillaume Salha • Romain Hennequin • Michalis Vazirgiannis	2020-01-21
Rumor Detection on Social Media with Bi-Directional Graph Convolutional Networks Tian Bian • Xi Xiao • Tingyang Xu • Peilin Zhao • Wenbing Huang • Yu Rong • Junzhou Huang	2020-01-17
HyGCN: A GCN Accelerator with Hybrid Architecture Mingyu Yan • Lei Deng • Xing Hu • Ling Liang • Yujing Feng • Xiaochun Ye • Zhimin Zhang • Dongrui Fan • Yuan Xie	2020-01-07
A Block-based Generative Model for Attributed Networks Embedding Xueyan Liu • Bo Yang • Wenzhuo Song • Katarzyna Musial • Wanli Zuo • Hongxu Chen • Hongzhi Yin	2020-01-06
General Partial Label Learning via Dual Bipartite Graph Autoencoder Brian Chen • Bo Wu • Alireza Zareian • Hanwang Zhang • Shih-Fu Chang	2020-01-05
Unifying Graph Convolutional Networks as Matrix Factorization Zhaocheng Liu • Qiang Liu • Haoli Zhang • Jun Zhu	2020-01-01
Multi-Graph Convolutional Network for Short-Term Passenger Flow Forecasting in Urban Rail Transit Jinlei Zhang • Feng Chen • Yinan Guo	2020-01-01
GraphACT: Accelerating GCN Training on CPU-FPGA Heterogeneous Platforms \| Hanqing Zeng • Viktor Prasanna	2019-12-31
Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit \| Jinlei Zhang • Feng Chen • Yadi Zhu • Yinan Guo	2019-12-29
Feature-Attention Graph Convolutional Networks for Noise Resilient Learning Min Shi • Yufei Tang • Xingquan Zhu • Jianxun Liu	2019-12-26
Expanding Label Sets for Graph Convolutional Networks Mustafa Coskun • Burcu Bakir Gungor • Mehmet Koyuturk	2019-12-18
Skeleton-Based Action Recognition with Multi-Stream Adaptive Graph Convolutional Networks \| Lei Shi • Yifan Zhang • Jian Cheng • Hanqing Lu # 1 SKELETON BASED ACTION RECOGNITION ON NTU RGB+D	2019-12-15
Tracing the Propagation Path: A Flow Perspective of Representation Learning on Graphs Menghan Wang • Kun Zhang • Gulin Li • Keping Yang • Luo Si	2019-12-12
Better Understanding Hierarchical Visual Relationship for Image Caption Zheng-cong Fei	2019-12-04
HyperGCN: A New Method For Training Graph Convolutional Networks on Hypergraphs \| Naganand Yadati • Madhav Nimishakavi • Prateek Yadav • Vikram Nitin • Anand Louis • Partha Talukdar	2019-12-01
PU-GCN: Point Cloud Upsampling using Graph Convolutional Networks \| Guocheng Qian • Abdulellah Abualshour • Guohao Li • Ali Thabet • Bernard Ghanem	2019-11-30
Dual-Attention Graph Convolutional Network Xueya Zhang • Tong Zhang • Wenting Zhao • Zhen Cui • Jian Yang	2019-11-28
PointRGCN: Graph Convolution Networks for 3D Vehicles Detection Refinement Jesus Zarzar • Silvio Giancola • Bernard Ghanem # 6 3D OBJECT DETECTION ON KITTI CARS HARD	2019-11-27
Multi-Range Attentive Bicomponent Graph Convolutional Network for Traffic Forecasting Weiqi Chen • Ling Chen • Yu Xie • Wei Cao • Yusong Gao • Xiaojie Feng	2019-11-27
An Attention-Enhanced Recurrent Graph Convolutional Network for Skeleton-Based Action Recognition Xiaolu Ding • Kai Yang • Wai Chen # 12 SKELETON BASED ACTION RECOGNITION ON KINETICS-SKELETON DATASET	2019-11-27
G-TAD: Sub-Graph Localization for Temporal Action Detection \| Mengmeng Xu • Chen Zhao • David S. Rojas • Ali Thabet • Bernard Ghanem # 2 TEMPORAL ACTION LOCALIZATION ON ACTIVITYNET-1.3	2019-11-26
Multi-Label Classification with Label Graph Superimposing \| Ya Wang • Dongliang He • Fu Li • Xiang Long • Zhichao Zhou • Jinwen Ma • Shilei Wen # 4 MULTI-LABEL CLASSIFICATION ON MS-COCO	2019-11-21
Knowledge Graph Entity Alignment with Graph Convolutional Networks: Lessons Learned \| Max Berrendorf • Evgeniy Faerman • Valentyn Melnychuk • Volker Tresp • Thomas Seidl # 13 ENTITY ALIGNMENT ON DBP15K ZH-EN	2019-11-19
GLMNet: Graph Learning-Matching Networks for Feature Matching Bo Jiang • Pengfei Sun • Jin Tang • Bin Luo	2019-11-18
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks \| Difan Zou • Ziniu Hu • Yewen Wang • Song Jiang • Yizhou Sun • Quanquan Gu	2019-11-17
Multi-hop Convolutions on Weighted Graphs \| Qikui Zhu • Bo Du • Pingkun Yan	2019-11-12
Learning Graph Convolutional Network for Skeleton-based Human Action Recognition by Neural Searching \| Wei Peng • Xiaopeng Hong • Haoyu Chen • Guoying Zhao # 6 SKELETON BASED ACTION RECOGNITION ON KINETICS-SKELETON DATASET	2019-11-11
Higher-order Weighted Graph Convolutional Networks Songtao Liu • Lingwei Chen • Hanze Dong • ZiHao Wang • Dinghao Wu • Zengfeng Huang	2019-11-11
Building Segmentation through a Gated Graph Convolutional Neural Network with Deep Structured Feature Embedding Yilei Shi • Qingyu Li • Xiao Xiang Zhu	2019-11-08
Composition-based Multi-Relational Graph Convolutional Networks \| Shikhar Vashishth • Soumya Sanyal • Vikram Nitin • Partha Talukdar # 16 LINK PREDICTION ON FB15K-237	2019-11-08
Neural Graph Embedding Methods for Natural Language Processing \| Shikhar Vashishth	2019-11-08
Generalizing Energy-based Generative ConvNets from Particle Evolution Perspective Yang Wu • Xu Cai • Pengxu Wei • Guanbin Li • Liang Lin	2019-10-31
Fundamental Limits of Deep Graph Convolutional Networks Abram Magner • Mayank Baranwal • Alfred O. Hero III	2019-10-28
Hyperbolic Graph Convolutional Neural Networks \| Ines Chami • Rex Ying • Christopher Ré • Jure Leskovec # 1 LINK PREDICTION ON PPI	2019-10-28
Topological based classification using graph convolutional networks Roy Abel • Idan Benami • yoram louzoun	2019-10-26
Selective Attention Based Graph Convolutional Networks for Aspect-Level Sentiment Classification Xiaochen Hou • Jing Huang • Guangtao Wang • Kevin Huang • Xiaodong He • Bo-Wen Zhou	2019-10-24
Relation Modeling with Graph Convolutional Networks for Facial Action Unit Detection Zhilei Liu • Jiahui Dong • Cuicui Zhang • Longbiao Wang • Jianwu Dang	2019-10-23
Edge Dithering for Robust Adaptive Graph Convolutional Networks Vassilis N. Ioannidis • Georgios B. Giannakis	2019-10-21
Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics Taras Khakhulin • Roman Schutski • Ivan Oseledets	2019-10-18
Decoupling feature propagation from the design of graph auto-encoders Paul Scherer • Helena Andres-Terre • Pietro Lio • Mateja Jamnik	2019-10-18
Detecting intracranial aneurysm rupture from 3D surfaces using a novel GraphNet approach Z. Ma • L. Song • X. Feng • G. Yang • W. Zhu • J. Liu • Y. Zhang • X. Yang • Y. Yin	2019-10-17
DeGNN: Characterizing and Improving Graph Neural Networks with Graph Decomposition Xupeng Miao • Nezihe Merve Gürel • Wentao Zhang • Zhichao Han • Bo Li • Wei Min • Xi Rao • Hansheng Ren • Yinan Shan • Yingxia Shao • Yujie Wang • Fan Wu • Hui Xue • Yaming Yang • Zitao Zhang • Yang Zhao • Shuai Zhang • Yujing Wang • Bin Cui • Ce Zhang	2019-10-10
Dynamic Self-training Framework for Graph Convolutional Networks \| Ziang Zhou • Shenzhong Zhang • Zengfeng Huang	2019-10-07
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks \| Guillaume Salha • Romain Hennequin • Michalis Vazirgiannis	2019-10-02
Graph convolutional networks for learning with few clean and many noisy labels Ahmet Iscen • Giorgos Tolias • Yannis Avrithis • Ondrej Chum • Cordelia Schmid	2019-10-01
TransGCN:Coupling Transformation Assumptions with Graph Convolutional Networks for Link Prediction Ling Cai • Bo Yan • Gengchen Mai • Krzysztof Janowicz • Rui Zhu	2019-10-01
Optimizing Network Structure for 3D Human Pose Estimation Hai Ci • Chunyu Wang • Xiaoxuan Ma • Yizhou Wang	2019-10-01
Learning Category Correlations for Multi-label Image Recognition with Graph Networks Qing Li • Xiaojiang Peng • Yu Qiao • Qiang Peng	2019-09-28
Relational Graph Learning for Crowd Navigation \| Changan Chen • Sha Hu • Payam Nikdel • Greg Mori • Manolis Savva	2019-09-28
Hyperspectral Image Classification With Context-Aware Dynamic Graph Convolutional Network Sheng Wan • Chen Gong • Ping Zhong • Shirui Pan • Guangyu Li • Jian Yang	2019-09-26
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Yecheng Lyu • Xinming Huang • Ziming Zhang	2019-09-26
PairNorm: Tackling Oversmoothing in GNNs \| Lingxiao Zhao • Leman Akoglu	2019-09-26
Layerwise Relevance Visualization in Convolutional Text Graph Classifiers \| Robert Schwarzenberg • Marc Hübner • David Harbecke • Christoph Alt • Leonhard Hennig	2019-09-24
Heterogeneous-Temporal Graph Convolutional Networks: Make the Community Detection Much Better Yaping Zheng • Shiyi Chen • Xinni Zhang • Xiaofeng Zhang • Xiaofei Yang • Di Wang	2019-09-23
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks Chengxi Li • Yue Meng • Stanley H. Chan • Yi-Ting Chen	2019-09-20
Jointly Learning Entity and Relation Representations for Entity Alignment \| Yuting Wu • Xiao Liu • Yansong Feng • Zheng Wang • Dongyan Zhao # 6 ENTITY ALIGNMENT ON DBP15K ZH-EN	2019-09-20
Incorporating Dynamicity of Transportation Network with Multi-Weight Traffic Graph Convolution for Traffic Forecasting Yuyol Shin • Yoonjin Yoon	2019-09-16
Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle Zhao-Yang Wang • Xiao-Yun Zhou • Peichao Li • Celia Riga • Guang-Zhong Yang	2019-09-16
GResNet: Graph Residual Network for Reviving Deep GNNs from Suspended Animation \| Jiawei Zhang • Lin Meng # 7 NODE CLASSIFICATION ON CORA	2019-09-12
GmCN: Graph Mask Convolutional Network Bo Jiang • Beibei Wang • Jin Tang • Bin Luo	2019-09-04
Graph Convolutional Networks for Road Networks \| Tobias Skovgaard Jepsen • Christian S. Jensen • Thomas Dyhre Nielsen	2019-08-30
TGG: Transferable Graph Generation for Zero-shot and Few-shot Learning \| Chenrui Zhang • Xiaoqing Lyu • Zhi Tang	2019-08-30
Personalized Hashtag Recommendation for Micro-videos \| Yinwei Wei • Zhiyong Cheng • Xuzheng Yu • Zhou Zhao • Lei Zhu • Liqiang Nie	2019-08-27
AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing Tong Geng • Ang Li • Runbin Shi • Chunshu Wu • Tianqi Wang • Yanfei Li • Pouya Haghi • Antonino Tumeo • Shuai Che • Steve Reinhardt • Martin Herbordt	2019-08-23
Graph Convolutional Networks for Coronary Artery Segmentation in Cardiac CT Angiography Jelmer M. Wolterink • Tim Leiner • Ivana Išgum	2019-08-14
Aligning Linguistic Words and Visual Semantic Units for Image Captioning \| Longteng Guo • Jing Liu • Jinhui Tang • Jiangwei Li • Wei Luo • Hanqing Lu	2019-08-06
Graph Neural Networks for Small Graph and Giant Network Representation Learning: An Overview Jiawei Zhang	2019-08-01
Anti-Money Laundering in Bitcoin: Experimenting with Graph Convolutional Networks for Financial Forensics Mark Weber • Giacomo Domeniconi • Jie Chen • Daniel Karl I. Weidele • Claudio Bellei • Tom Robinson • Charles E. Leiserson	2019-07-31
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification \| Yu Rong • Wenbing Huang • Tingyang Xu • Junzhou Huang # 2 NODE CLASSIFICATION ON CORA FULL-SUPERVISED	2019-07-25
Spectral-based Graph Convolutional Network for Directed Graphs Yi Ma • Jianye Hao • Yaodong Yang • Han Li • Junqi Jin • Guangyong Chen	2019-07-21
Semi-Supervised Graph Embedding for Multi-Label Graph Node Classification Kaisheng Gao • Jing Zhang • Cangqi Zhou	2019-07-12
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology \| Nima Dehmamy • Albert-László Barabási • Rose Yu	2019-07-11
Label-Aware Graph Convolutional Networks Hao Chen • Yue Xu • Feiran Huang • Zengde Deng • Wenbing Huang • Senzhang Wang • Peng He • Zhoujun Li	2019-07-10
GraphSAINT: Graph Sampling Based Inductive Learning Method \| Hanqing Zeng • Hongkuan Zhou • Ajitesh Srivastava • Rajgopal Kannan • Viktor Prasanna # 2 NODE CLASSIFICATION ON PPI	2019-07-10

Tasks

TASK	PAPERS	SHARE
Node Classification	45	15.25%
Action Recognition	16	5.42%
Graph Classification	15	5.08%
Graph Learning	15	5.08%
Skeleton Based Action Recognition	14	4.75%
Link Prediction	14	4.75%
Graph Embedding	10	3.39%
Knowledge Graphs	9	3.05%
Graph Representation Learning	8	2.71%

Usage Over Time

This feature is experimental; we are continuously improving our matching algorithm.

Components

COMPONENT	TYPE	Add Remove
🤖 No Components Found	You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories

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Graph Models