Trending Research

Graph Attention Networks

ICLR 2018 stellargraph/stellargraph

We present graph attention networks (GATs), novel neural network architectures that operate on graph-structured data, leveraging masked self-attentional layers to address the shortcomings of prior methods based on graph convolutions or their approximations.

GRAPH EMBEDDING LINK PREDICTION NODE CLASSIFICATION

402
0.83 stars / hour

Inductive Representation Learning on Large Graphs

NeurIPS 2017 stellargraph/stellargraph

Low-dimensional embeddings of nodes in large graphs have proved extremely useful in a variety of prediction tasks, from content recommendation to identifying protein functions.

LINK PREDICTION NODE CLASSIFICATION REPRESENTATION LEARNING

402
0.83 stars / hour

Semi-Supervised Classification with Graph Convolutional Networks

9 Sep 2016stellargraph/stellargraph

We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of convolutional neural networks which operate directly on graphs.

NODE CLASSIFICATION

402
0.83 stars / hour

Image Super-Resolution by Neural Texture Transfer

3 Mar 2019ZZUTK/SRNTT

Reference-based super-resolution (RefSR), on the other hand, has proven to be promising in recovering high-resolution (HR) details when a reference (Ref) image with similar content as that of the LR input is given.

IMAGE STYLIZATION IMAGE SUPER-RESOLUTION

97
0.82 stars / hour

Finding Structure in Text, Genome and Other Symbolic Sequences

8 Jul 2012BLKSerene/Wordless

A variety of applications for these methods are examined in detail.

LANGUAGE IDENTIFICATION

53
0.71 stars / hour

RLgraph: Modular Computation Graphs for Deep Reinforcement Learning

21 Oct 2018rlgraph/rlgraph

Reinforcement learning (RL) tasks are challenging to implement, execute and test due to algorithmic instability, hyper-parameter sensitivity, and heterogeneous distributed communication patterns.

120
0.58 stars / hour

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

13 Mar 2019HelenMao/MSGAN

In this work, we propose a simple yet effective regularization term to address the mode collapse issue for cGANs.

IMAGE-TO-IMAGE TRANSLATION

89
0.53 stars / hour

Multi-Task Deep Neural Networks for Natural Language Understanding

31 Jan 2019namisan/mt-dnn

In this paper, we present a Multi-Task Deep Neural Network (MT-DNN) for learning representations across multiple natural language understanding (NLU) tasks.

DOMAIN ADAPTATION LANGUAGE MODELLING NATURAL LANGUAGE INFERENCE PARAPHRASE IDENTIFICATION SENTIMENT ANALYSIS

76
0.49 stars / hour

Snorkel: Rapid Training Data Creation with Weak Supervision

28 Nov 2017HazyResearch/snorkel

In a user study, subject matter experts build models 2.8x faster and increase predictive performance an average 45.5% versus seven hours of hand labeling.

2,042
0.46 stars / hour

Fast Graph Representation Learning with PyTorch Geometric

6 Mar 2019rusty1s/pytorch_geometric

We introduce PyTorch Geometric, a library for deep learning on irregularly structured input data such as graphs, point clouds and manifolds, built upon PyTorch.

GRAPH REPRESENTATION LEARNING RELATIONAL REASONING

2,760
0.45 stars / hour