Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation-Reference-Cited by-同舟云学术

Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation

Published:2023-10-01 Issue:10 Volume:35 Page:10151-10165
ISSN:1041-4347
Container-title:IEEE Transactions on Knowledge and Data Engineering
language:
Short-container-title:IEEE Trans. Knowl. Data Eng.

Author:

Zheng Tongya¹^ORCID,Wang Xinchao²^ORCID,Feng Zunlei³^ORCID,Song Jie³^ORCID,Hao Yunzhi⁴^ORCID,Song Mingli⁵^ORCID,Wang Xingen⁴^ORCID,Wang Xinyu⁴^ORCID,Chen Chun⁴

Affiliation:

1. Big Graph Center, College of Computer Science, Hangzhou City University, and the College of Computer Science, Zhejiang University, Hangzhou, China

2. Department of Electrical and Computer Enigneering, National University of Singapore, Singapore

3. School of Software Technology, Zhejiang University, Hangzhou, China

4. College of Computer Science, Zhejiang University, Hangzhou, China

5. Big Graph Center, College of Computer Science of Hangzhou City University, the ZJU-Bangsun Joint Research Center, and the Shanghai Institute for Advanced Study, Zhejiang University, Hangzhou, China

Funder

National Key R&D Program of China

Starry Night Science Fund of Zhejiang University Shanghai Institute for Advanced Study

National Research Foundation Singapore

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems

Link

http://xplorestaging.ieee.org/ielx7/69/10251471/10094005.pdf?arnumber=10094005

Reference49 articles.

1. An Effective Network Traffic Classification Method with Unknown Flow Detection

2. Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba

3. node2vec

4. DeepWalk

5. Graph Convolutional Neural Networks for Web-Scale Recommender Systems

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