most citedRedundancy-Free Self-Supervised Relational Learning for Graph Clustering

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023★ 2 cited

Redundancy-Free Self-Supervised Relational Learning for Graph Clustering

Si-Yu Yi, Wei Ju, Yifang Qin +4

Graph clustering, which learns the node representations for effective cluster assignments, is a fundamental yet challenging task in data analysis and has received considerable atte…

cs.LG2023

Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts

Siyu Yi, Zhengyang Mao, Wei Ju +4

Graph classification, aiming at learning the graph-level representations for effective class assignments, has received outstanding achievements, which heavily relies on high-qualit…