HERO: Preserving Structure and Semantics in Heterogeneous Continual Graph Learning
cs.LG
Submitted: 2025-05-23
Updated: 2026-09-26
Terminology
Sources
- Distilling the Knowledge in a Neural Network
- Universal Graph Continual Learning
- An Efficient Memory Module for Graph Few-Shot Class-Incremental Learning
- On First-Order Meta-Learning Algorithms
- Replay-and-Forget-Free Graph Class-Incremental Learning: A Task Profiling and Prompting Approach
- Heterogeneous Information Network Embedding for Recommendation
- Knowledge Distillation on Graphs: A Survey
- An Empirical Study of Example Forgetting during Deep Neural Network Learning
- Continual Learning on Graphs: Challenges, Solutions, and Opportunities
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