2 papers
cs.LG2026
DRIFT: A Benchmark for Task-Free Continual Graph Learning with Continuous Distribution Shifts
Guiquan Sun, Xikun Zhang, Jingchao Ni +1
Continual graph learning (CGL) aims to learn from dynamically evolving graphs while mitigating catastrophic forgetting. Existing CGL approaches typically adopt a task-based formula…
cs.LG2025
HERO: Heterogeneous Continual Graph Learning via Meta-Knowledge Distillation
Guiquan Sun, Xikun Zhang, Jingchao Ni +1
Heterogeneous graph neural networks have seen rapid progress in web applications such as social networks, knowledge graphs, and recommendation systems, driven by the inherent heter…