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1. L2P L2P Public

   L2P: Learning How to Propagate Messages in Graph Neural Networks (KDD 2021)

   Python 4

2. GraphACL GraphACL Public

   GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)

   Python 28 3

3. Awesome-Graph-Contrastive-Learning-with-Heterophily Awesome-Graph-Contrastive-Learning-with-Heterophily Public

   Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily

   37 2

4. GraphECL GraphECL Public

   Efficient Contrastive Learning for Fast and Accurate Inference on Graphs (ICML 2024)

   Python 6

5. GSIL GSIL Public

   How to Leverage Demonstration Data in Alignment for Large Language Model? A Self-Imitation Learning Perspective (EMNLP 2024)

   Python 2

6. Cal-DPO Cal-DPO Public

   Cal-DPO: Calibrated Direct Preference Optimization for Language Model Alignment (NeurIPS 2024)

   Python 5 1