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Graph Generation

33 papers with code · Graphs

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Greatest papers with code

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

30 Sep 2019pfnet-research/chainer-chemistry

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

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

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

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

Junction Tree Variational Autoencoder for Molecular Graph Generation

ICML 2018 wengong-jin/icml18-jtnn

We evaluate our model on multiple tasks ranging from molecular generation to optimization.

DRUG DISCOVERY GRAPH GENERATION

Scene Graph Generation from Objects, Phrases and Region Captions

ICCV 2017 yikang-li/MSDN

Object detection, scene graph generation and region captioning, which are three scene understanding tasks at different semantic levels, are tied together: scene graphs are generated on top of objects detected in an image with their pairwise relationship predicted, while region captioning gives a language description of the objects, their attributes, relations, and other context information.

GRAPH GENERATION OBJECT DETECTION SCENE GRAPH GENERATION SCENE UNDERSTANDING

Graph Convolutional Policy Network for Goal-Directed Molecular Graph Generation

NeurIPS 2018 bowenliu16/rl_graph_generation

Generating novel graph structures that optimize given objectives while obeying some given underlying rules is fundamental for chemistry, biology and social science research.

GRAPH GENERATION