Dynamic Hypergraph Convolutional Network

Author:

Yin Nan1,Feng Fuli2,Luo Zhigang1,Zhang Xiang1,Wang Wenjie3,Luo Xiao4,Chen Chong4,Hua Xian-Sheng5

Affiliation:

1. National University of Defense Technology

2. University of Science and Technology of China

3. National University of Singapore

4. Peking University

5. Individual

Publisher

IEEE

Reference67 articles.

1. Spatial Transition Learning on Road Networks with Deep Probabilistic Models

2. Dyngem: Deep embedding method for dynamic graphs;goyal;CoRR,2018

3. Dyrep: Learning representations over dynamic graphs;trivedi;ICLRE,2019

4. Graph-mlp: Node classification without message passing in graph;hu;CoRR,2021

5. Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions

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4. Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract);2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

5. Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

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