[GNN] Collections of Latest Papers and Implementations for Graph Neural Network (updating)

Review

• Deep learning on graphs: A survey (2019_11) [arxiv.cn]
• Deep Graph Similarity Learning: A Survey [arxiv]
• A comprehensive survey on graph neural networks (2019_12)[arxiv.cn]
• Attention models in graphs: A survey (2018_7) [arxiv.cn]
• A comprehensive survey of graph embedding: Problems, techniques, and applications (2018_2) [arxiv.cn]

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Well-written Blogs

• 圖卷積網絡 GCN Graph Convolutional Network（譜域GCN）的理解和詳細推導

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Some Papers with Codes

DeepGCNs: Making GCNs Go as Deep as CNNs (ICCV 2019)

• Paper: https://arxiv.org/pdf/1910.06849.pdf
• Code: github.com/lightaime/deep_gcns_torch

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Useful Graph Library

• DGL [git]
• PyG [git]

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Datasets & BenchMark

• Benchmarking Graph Neural Networks [arxiv] [project-git]
• Open Graph Benchmark [知乎] [project]