Content

December 11, 2022

Introduction and background (30 min)

Taxonomy of graph self-supervised learning (50 min, Ming) (GSSL survey)

1. Generation-based graph self-supervised learning
2. Auxiliary property-based graph self-supervised learning
3. Contrast-based graph self-supervised learning
4. Hybrid graph self-supervised learning

Frontiers of graph self-supervised learning (50 min, Yizhen)

1. Trustworthy graph self-supervised learning
2. Efficient graph self-supervised learning
3. Automatic graph self-supervised learning

Applications of graph self-supervised learning (50 min, Yixin)

1. Recommender system
2. Anomaly and out-of-distribution detection
3. Chemistry
4. Graph structure learning (SLAPS/SUBLIME)