Co-Neighbor Encoding Schema: A Light-cost Structure Encoding Method for Dynamic Link Prediction

Author:

Cheng Ke1ORCID,Linzhi Peng1ORCID,Ye Junchen2ORCID,Sun Leilei1ORCID,Du Bowen3ORCID

Affiliation:

1. CCSE Lab, Beihang University, Beijing, China

2. School of Transportation Science and Engineering, Beihang University, Beijing, China

3. Zhongguancun Lab & School of Transportation Science and Engineering, Beihang University, Beijing, China

Funder

Natural Science Foundation of China

S\&T Program of Hebei

Publisher

ACM

Reference45 articles.

1. Ralph Abboud, 'smail lkan Ceylan, Martin Grohe, and Thomas Lukasiewicz. 2020. The Surprising Power of Graph Neural Networks with Random Node Initialization. arXiv preprint arXiv:2010.01179 (2020). ^5^

2. Subgraph Neural Networks;Alsentzer Emily;Advances in Neural Information Processing Systems (NeurIPS),2020

3. Evolutionary dynamics of higher-order interactions in social networks

4. Giorgos Bouritsas, Fabrizio Frasca, Stefanos P Zafeiriou, and Michael Bronstein. 2022. Improving graph neural network expressivity via subgraph isomorphism counting. IEEE Transactions on Pattern Analysis and Machine Intelligence (2022).

5. Benjamin Paul Chamberlain, Sergey Shirobokov, Emanuele Rossi, Fabrizio Frasca, Thomas Markovich, Nils Hammerla, Michael M Bronstein, and Max Hansmire. 2022. Graph neural networks for link prediction with subgraph sketching. arXiv preprint arXiv:2209.15486 (2022).

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