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Haobo SONG

2 accepted papers

2025

Enhancing Graph Contrastive Learning for Protein Graphs from Perspective of Invariance

ICML 2025poster

Graph Contrastive Learning (GCL) improves Graph Neural Network (GNN)-based protein representation learning by enhancing its generalization and robustness. Existing GCL approaches for protein representation learning rely on 2D topology, where graph augmentation is solely based on topological features…

Cited by 0SourcePDFScholar
2024

Increasing Model Capacity for Free: A Simple Strategy for Parameter Efficient Fine-tuning

ICLR 2024poster

Fine-tuning large pre-trained foundation models, such as the 175B GPT-3, has become the prevailing approach for downstream tasks. While parameter-efficient fine-tuning methods have been proposed and proven effective without retraining all model parameters, their performance is limited by the capacit…