Tensor Graph Convolutional Network for Dynamic Graph Representation Learning
Author:
Affiliation:
1. Chongqing University of Posts and Telecommunications,School of Computer Science and Technology,Chongqing,China
2. Southwest University,College of Computer and Information Science,Chongqing,China
Funder
Science and Technology Foundation of State Grid Corporation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10552442/10552389/10552463.pdf?arnumber=10552463
Reference39 articles.
1. A Novel Representation Learning for Dynamic Graphs Based on Graph Convolutional Networks
2. Dynamic Representation Learning via Recurrent Graph Neural Networks
3. A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis
4. DeepWalk
5. A Generalized and Fast-converging Non-negative Latent Factor Model for Predicting User Preferences in Recommender Systems
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