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Graph Neural Networks (GNNs) have received considerable attention on graph-structured data learning for a wide variety of tasks.
Multilayer perceptron, fuzzy sets, and classification
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Graph Attention Networks
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Strategies for Pre-training Graph Neural Networks. In ICLR
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Graph Structure Learning for Robust Graph Neural Networks. In KDD . 66–74
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An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition. In CVPR . 1227–1236
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Deep Graph Library: A Graph-Centric, Highly-Performant Package for Graph Neural Networks
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Constant Curvature Graph Convolutional Networks. In ICML
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Graph Neural Networks Exponentially Lose Expressive Power for Node Classification. In ICLR
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GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training. In KDD . 1150–1160
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A Comprehensive Survey on Graph Neural Networks
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XGNN: Towards Model-Level Explanations of Graph Neural Networks. In KDD . 430–438
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Deep Learning on Graphs: A Survey
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Heterogeneous Graph Attention Network. In WWW . 2022–2032
Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, and Philip S Yu. 2019a · 2032
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