Sean Li @ ICLR
@seanli3.bsky.social
Graph Machine Learning, Graph algorithms, Causal Inference
Research engineer @ CSIRO
PhD @ ANU
Research engineer @ CSIRO
PhD @ ANU
Our key findings:
- Graph ML models can be generalizable yet powerful at the same time
- We offer insights to enhance a model's generalization pre-training
- Findings extend to non-graph ML models as well
- Graph ML models can be generalizable yet powerful at the same time
- We offer insights to enhance a model's generalization pre-training
- Findings extend to non-graph ML models as well
April 24, 2025 at 12:06 AM
Our key findings:
- Graph ML models can be generalizable yet powerful at the same time
- We offer insights to enhance a model's generalization pre-training
- Findings extend to non-graph ML models as well
- Graph ML models can be generalizable yet powerful at the same time
- We offer insights to enhance a model's generalization pre-training
- Findings extend to non-graph ML models as well