High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation
Author:
Affiliation:
1. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China
2. Theory Lab, Huawei, Hong Kong, China
Funder
Research Grants Council of Hong Kong
Research Impact Fund project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computational Theory and Mathematics,Computer Science Applications,Information Systems
Link
http://xplorestaging.ieee.org/ielx7/69/10210449/10026343.pdf?arnumber=10026343
Reference46 articles.
1. GCN-GAN: A Non-linear Temporal Link Prediction Model for Weighted Dynamic Networks
2. DyRep: Learning representations over dynamic graphs;trivedi;Proc 7th Int Conf Learn Representations,2019
3. Adaptive Multiple Non-negative Matrix Factorization for Temporal Link Prediction in Dynamic Networks
4. Classifying IoT Devices in Smart Environments Using Network Traffic Characteristics
5. Temporal Network Embedding with Micro- and Macro-dynamics
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