Continuous-Time Dynamic Graph Learning via Neural Interaction Processes-Reference-Cited by-同舟云学术

Continuous-Time Dynamic Graph Learning via Neural Interaction Processes

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
language:
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Author:

Chang Xiaofu¹,Liu Xuqin¹,Wen Jianfeng¹,Li Shuang²,Fang Yanming³,Song Le³,Qi Yuan³

Affiliation:

1. Ant Group, Beijing, China

2. Harvard University, Cambridge, MA, USA

3. Ant Group, Hangzhou, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3411946

Reference25 articles.

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2. Hanjun Dai Yichen Wang Rakshit Trivedi and Le Song. 2016. Deep coevolutionary network: Embedding user and item features for recommendation. arXiv preprint arXiv:1609.03675 (2016). Hanjun Dai Yichen Wang Rakshit Trivedi and Le Song. 2016. Deep coevolutionary network: Embedding user and item features for recommendation. arXiv preprint arXiv:1609.03675 (2016).

3. Daryl J Daley and David Vere-Jones. 2007. An introduction to the theory of point processes: volume II: general theory and structure .Springer Science & Business Media. Daryl J Daley and David Vere-Jones. 2007. An introduction to the theory of point processes: volume II: general theory and structure .Springer Science & Business Media.

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