Motif-Preserving Dynamic Attributed Network Embedding
Author:
Affiliation:
1. Yantai University, China
2. JD Finance America Corporation, USA
3. Ocean University of China, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3442381.3449821
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3. Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou and Xu Sun. 2020. Measuring and relieving the over-smoothing problem for graph neural networks from the topological view. In AAAI Vol. 34. 3438–3445. Deli Chen Yankai Lin Wei Li Peng Li Jie Zhou and Xu Sun. 2020. Measuring and relieving the over-smoothing problem for graph neural networks from the topological view. In AAAI Vol. 34. 3438–3445.
4. Sam De Winter Tim Decuypere Sandra Mitrović Bart Baesens and Jochen De Weerdt. 2018. Combining temporal aspects of dynamic networks with Node2Vec for a more efficient dynamic link prediction. In ASONAM. 1234–1241. Sam De Winter Tim Decuypere Sandra Mitrović Bart Baesens and Jochen De Weerdt. 2018. Combining temporal aspects of dynamic networks with Node2Vec for a more efficient dynamic link prediction. In ASONAM. 1234–1241.
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