kimsu55 / ToxExpert
☆13Updated last year
Alternatives and similar repositories for ToxExpert:
Users that are interested in ToxExpert are comparing it to the libraries listed below
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆40Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆40Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆34Updated 11 months ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated last year
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆43Updated 3 years ago
- [NeurIPS 2023] Does Invariant Graph Learning via Environment Augmentation Learn Invariance?☆21Updated 6 months ago
- Learning to Group Auxiliary Datasets for Molecule, NeurIPS2023☆18Updated last year
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆38Updated 8 months ago
- Codes, datasets and appendix for AAAI-2023 paper "Multi-relational Contrastive Learning Graph Neural Network for Drug-drug Interaction Ev…☆15Updated 2 weeks ago
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆30Updated 9 months ago
- Code implementation for paper "Can Large Language Models Empower Molecular Property Prediction?"☆38Updated last year
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆21Updated last year
- [NeurIPS'23] Source code of "Data-Centric Learning from Unlabeled Graphs with Diffusion Model": A data-centric transfer learning framewor…☆18Updated last year
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆79Updated 2 years ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆31Updated 2 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆28Updated last year
- Implementation of Fragment-based Pretraining and Finetuning on Molecular Graphs (NeurIPS 2023)☆19Updated 9 months ago
- The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"☆22Updated last year
- The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignm…☆25Updated 2 years ago
- The code for GIMLET: A Unified Graph-Text Model for Instruction-Based Molecule Zero-Shot Learning☆59Updated last year
- GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs☆14Updated 2 months ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆116Updated last year
- The pytorch implementation of ClusterSCL (WWW2022).☆15Updated last year
- Source code for From Stars to Subgraphs (ICLR 2022)☆67Updated 11 months ago
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆75Updated 2 years ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆22Updated last year
- [ACL 2023 Oral] Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning☆8Updated last year
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆22Updated last year