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1. awesome-pretrain-on-molecules awesome-pretrain-on-molecules Public

   [IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

   484 50

2. SimGRACE SimGRACE Public

   Forked from mpanpan/SimGRACE

   [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"

   Python 76 6

3. Mole-BERT Mole-BERT Public

   [ICLR 2023] "Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules"

   Python 97 11

4. ProGCL ProGCL Public

   [ICML 2022] "ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning"

   Python 41 3

5. IFM IFM Public

   [NeurIPS 2023] "Understanding the Limitations of Deep Models for Molecular Property Prediction: Insights and Solutions"

   Python 8

6. Co-training-based_noisy-label-learning Co-training-based_noisy-label-learning Public

   Forked from chengtan9907/Co-learning

   [ACM MM 2021 Oral Presentation] A unified framework for co-training-based noisy label learning methods.

   Python