24 citations · 25 across the 3 of their papers we have counts for
4 papers
DISRL: Dual-Scale Incremental Semi-Supervised Reinforcement Learning for Dynamic Community Tracking
Tianming Zhang, Jinxu Wang, Yixuan Zhang +4
Dynamic local community detection tracks the evolving community of designated seed nodes across graph snapshots. However, it faces two critical challenges: temporal supervision unc…
MDTE: Minority-Aware Diffusion over Temporal Edge Events for Imbalanced Node Classification
Zhou Zelong, Zhang Tianming, Yang Zhengyi +4
Class-imbalanced node classification on temporal graphs is challenging because majority-dominated temporal propagation progressively assimilates minority representations, while con…
CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs
Tianming Zhang, Renbo Zhang, Zhengyi Yang +3
Temporal Betweenness Centrality (TBC) measures how often a node appears on optimal temporal paths, reflecting its importance in temporal networks. However, exact computation is hig…
Efficient Temporal Butterfly Counting and Enumeration on Temporal Bipartite Graphs
Xinwei Cai, Xiangyu Ke, Kai Wang +4
Bipartite graphs characterize relationships between two different sets of entities, like actor-movie, user-item, and author-paper. The butterfly, a 4-vertices 4-edges (2,2)-bicliqu…