Continual Graph Learning Papers

Continual graph learning is an intersection of continual learning and graph learning. This repo will continuously collect and update the latest continual graph learning papers.

1. GraphSAIL: Graph Structure Aware Incremental Learning for Recommender Systems paper

2. Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks paper code

3. Lifelong Graph Learning paper code

4. Lifelong Learning of Graph Neural Networks for Open-World Node Classification paper code

5. Multimodal Continual Graph Learning with Neural Architecture Search paper

6. OpenWGL: Open-World Graph Learning paper

7. Overcoming Catastrophic Forgetting in Graph Neural Networks paper code

8. Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay paper

9. Streaming Graph Neural Networks via Continual Learning paper

10. TrafficStream: A Streaming Traffic Flow Forecasting Framework Based on Graph Neural Networks and Continual Learning paper code

11. Disentangle-based Continual Graph Representation Learning paper

12. Learning on Streaming Graphs with Experience Replay paper code

13. Streaming Graph Neural Networks via Generative Replay paper code