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cs.LG2025★ 1 cited
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…
cs.LG2024★ 5 cited
How Much Can Time-related Features Enhance Time Series Forecasting?
Chaolv Zeng, Yuan Tian, Guanjie Zheng +1
Recent advancements in long-term time series forecasting (LTSF) have primarily focused on capturing cross-time and cross-variate (channel) dependencies within historical data. Howe…