Guanheng Chen

Adaptive Mixture of Disentangled Experts for Dynamic Graphs under Distribution Shifts

Dynamic graph representation learning under distribution shifts has drawn an increasing amount of attention in the research community, given its wide applicability in real-world scenarios. Existing methods typically employ a fixed-architecture design to extract invariant patterns. However, there may…