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Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs

Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs

Gyeongmin Gu
Minseo Jeon
Hyun-Je Song
Jinhong Jung
ArXiv (abs)PDFHTML

Papers citing "Effective and Lightweight Representation Learning for Link Sign Prediction in Signed Bipartite Graphs"

6 / 6 papers shown
Title
Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning
Time-aware Random Walk Diffusion to Improve Dynamic Graph Learning
Jong-whi Lee
Jinhong Jung
56
11
0
02 Nov 2022
Signed Graph Diffusion Network
Signed Graph Diffusion Network
Jinhong Jung
Jaemin Yoo
U. Kang
GNNDiffM
66
19
0
28 Dec 2020
Fast and Accurate Pseudoinverse with Sparse Matrix Reordering and Incremental Approach
Fast and Accurate Pseudoinverse with Sparse Matrix Reordering and Incremental Approach
Jinhong Jung
Lee Sael
57
10
0
09 Nov 2020
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
Xiangnan He
Kuan Deng
Xiang Wang
Yan Li
Yongdong Zhang
Meng Wang
GNN
189
3,674
0
06 Feb 2020
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
Qimai Li
Zhichao Han
Xiao-Ming Wu
GNNSSL
192
2,830
0
22 Jan 2018
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
191
10,906
0
03 Jul 2016

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