9 citations · 11 across the 2 of their papers we have counts for
3 papers
cs.LG2023
Geometric Imbalance in Semi-Supervised Node Classification
Liang Yan, Shengzhong Zhang, Bisheng Li +6
Class imbalance in graph data presents a significant challenge for effective node classification, particularly in semi-supervised scenarios. In this work, we formally introduce the…
cs.LG2022★ 9 cited
BSAL: A Framework of Bi-component Structure and Attribute Learning for Link Prediction
Bisheng Li, Min Zhou, Shengzhong Zhang +3
Given the ubiquitous existence of graph-structured data, learning the representations of nodes for the downstream tasks ranging from node classification, link prediction to graph c…
cs.SI2022★ 2 cited
TeleGraph: A Benchmark Dataset for Hierarchical Link Prediction
Min Zhou, Bisheng Li, Menglin Yang +1
Link prediction is a key problem for network-structured data, attracting considerable research efforts owing to its diverse applications. The current link prediction methods focus…