most citedInvariant Graph Representations for Continuous-Time Dynamic Graphs Under Distribution Shifts

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

Prior Knowledge-enhanced Spatio-temporal Epidemic Forecasting

Sijie Ruan, Jinyu Li, Jia Wei +7

Spatio-temporal epidemic forecasting is critical for public health management, yet existing methods often struggle with insensitivity to weak epidemic signals, over-simplified spat…

cs.LG2026

Meta Dynamic Graph for Traffic Flow Prediction

Yiqing Zou, Hanning Yuan, Qianyu Yang +3

Traffic flow prediction is a typical spatio-temporal prediction problem and has a wide range of applications. The core challenge lies in modeling the underlying complex spatio-temp…

cs.CV2024

DWCL: Dual-Weighted Contrastive Learning for Multi-View Clustering

Hanning Yuan, Zhihui Zhang, Qi Guo +4

Multi-view contrastive clustering (MVCC) has gained significant attention for generating consistent clustering structures from multiple views through contrastive learning. However,…

cs.LG2024★ 1 cited

Invariant Graph Representations for Continuous-Time Dynamic Graphs Under Distribution Shifts

Lanting Fang, Yulian Yang, Yawei Zhang +3

Continuous-Time Dynamic Graphs (CTDGs) enable fine-grained modeling of evolving relational systems. However, most existing CTDG representation learning methods are tailored to in-d…

cs.CV2024

Deep Contrastive Multi-view Clustering under Semantic Feature Guidance

Siwen Liu, Jinyan Liu, Hanning Yuan +4

Contrastive learning has achieved promising performance in the field of multi-view clustering recently. However, the positive and negative sample construction mechanisms ignoring s…