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Graph Generation

39 papers with code · Graphs

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Graph R-CNN for Scene Graph Generation

ECCV 2018 jwyang/graph-rcnn.pytorch

We propose a novel scene graph generation model called Graph R-CNN, that is both effective and efficient at detecting objects and their relations in images.

GRAPH GENERATION SCENE GRAPH GENERATION

Graph Residual Flow for Molecular Graph Generation

ICLR 2020 chainer/chainer-chemistry

Statistical generative models for molecular graphs attract attention from many researchers from the fields of bio- and chemo-informatics.

GRAPH GENERATION MOLECULAR GRAPH GENERATION

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

28 May 2019chainer/chainer-chemistry

We propose GraphNVP, the first invertible, normalizing flow-based molecular graph generation model.

GRAPH GENERATION MOLECULAR GRAPH GENERATION

Learning Deep Generative Models of Graphs

ICLR 2018 JiaxuanYou/graph-generation

Graphs are fundamental data structures which concisely capture the relational structure in many important real-world domains, such as knowledge graphs, physical and social interactions, language, and chemistry.

GRAPH GENERATION KNOWLEDGE GRAPHS

GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

ICML 2018 JiaxuanYou/graph-generation

Modeling and generating graphs is fundamental for studying networks in biology, engineering, and social sciences.

GRAPH GENERATION

Graphs over Time: Densification Laws, Shrinking Diameters and Possible Explanations

‎‎‏‏‎ ‎ 2020 benedekrozemberczki/littleballoffur

We provide a new graph generator, based on a "forest fire" spreading process, that has a simple, intuitive justification, requires very few parameters (like the "flammability" of nodes), and produces graphs exhibiting the full range of properties observed both in prior work and in the present study.

GRAPH GENERATION

Efficient Graph Generation with Graph Recurrent Attention Networks

NeurIPS 2019 lrjconan/GRAN

Our model generates graphs one block of nodes and associated edges at a time.

GRAPH GENERATION

Efficient Graph Generation with Graph Recurrent Attention Networks

NeurIPS 2019 lrjconan/GRAN

Our model generates graphs one block of nodes and associated edges at a time.

GRAPH GENERATION

Unbiased Scene Graph Generation from Biased Training

CVPR 2020 KaihuaTang/Scene-Graph-Benchmark.pytorch

Today's scene graph generation (SGG) task is still far from practical, mainly due to the severe training bias, e. g., collapsing diverse "human walk on / sit on / lay on beach" into "human on beach".

CAUSAL INFERENCE GRAPH GENERATION SCENE GRAPH GENERATION

Learning to Compose Dynamic Tree Structures for Visual Contexts

CVPR 2019 KaihuaTang/Scene-Graph-Benchmark.pytorch

We propose to compose dynamic tree structures that place the objects in an image into a visual context, helping visual reasoning tasks such as scene graph generation and visual Q&A.

GRAPH GENERATION SCENE GRAPH GENERATION VISUAL QUESTION ANSWERING VISUAL REASONING