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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 31 3

3. GraphECL GraphECL Public

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

   Python 10

4. GSIL GSIL Public

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

   Python 3

5. Cal-DPO Cal-DPO Public

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

   Python 8 1

6. SimPER SimPER Public

   SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters (ICLR 2025)

   Python 10