GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily

Author:

Du Lun1,Shi Xiaozhou2,Fu Qiang1,Ma Xiaojun3,Liu Hengyu4,Han Shi1,Zhang Dongmei1

Affiliation:

1. Microsoft Research Asia, China

2. Beijing University of Technology, China

3. Peking University, China

4. Northeastern University, China

Publisher

ACM

Reference38 articles.

1. Sami Abu-El-Haija , Bryan Perozzi , Amol Kapoor , Nazanin Alipourfard , Kristina Lerman , Hrayr Harutyunyan , Greg Ver Steeg , and Aram Galstyan . 2019 . MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing . In Proceedings of the 36th International Conference on Machine Learning (ICML 2019). Sami Abu-El-Haija, Bryan Perozzi, Amol Kapoor, Nazanin Alipourfard, Kristina Lerman, Hrayr Harutyunyan, Greg Ver Steeg, and Aram Galstyan. 2019. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing. In Proceedings of the 36th International Conference on Machine Learning (ICML 2019).

2. Smriti Bhagat Graham Cormode and S Muthukrishnan. 2011. Node Classification in Social Networks. arXiv: Social and Information Networks(2011) 115–148. Smriti Bhagat Graham Cormode and S Muthukrishnan. 2011. Node Classification in Social Networks. arXiv: Social and Information Networks(2011) 115–148.

3. Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding and Yaliang Li. 2020. Simple and Deep Graph Convolutional Networks. CoRR abs/2007.02133(2020). arXiv:2007.02133https://arxiv.org/abs/2007.02133 Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding and Yaliang Li. 2020. Simple and Deep Graph Convolutional Networks. CoRR abs/2007.02133(2020). arXiv:2007.02133https://arxiv.org/abs/2007.02133

4. Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding and Yaliang Li. 2020. Simple and Deep Graph Convolutional Networks. In ICML(Proceedings of Machine Learning Research Vol. 119). PMLR 1725–1735. Ming Chen Zhewei Wei Zengfeng Huang Bolin Ding and Yaliang Li. 2020. Simple and Deep Graph Convolutional Networks. In ICML(Proceedings of Machine Learning Research Vol. 119). PMLR 1725–1735.

5. A Cluster Separation Measure

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