zhichunguo / Meta-MGNNLinks
Few-Shot Graph Learning for Molecular Property Prediction
☆138Updated 2 years ago
Alternatives and similar repositories for Meta-MGNN
Users that are interested in Meta-MGNN are comparing it to the libraries listed below
Sorting:
- Official code repository of < CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph >☆306Updated last week
- Code for EMNLP2023 paper "MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter".☆83Updated last year
- This repository is the official code source of PPFlow: Target-Aware Peptide Design with Torsional Flow Matching (ICML2024)☆83Updated 4 months ago
- [NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"☆151Updated 3 months ago
- [ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".☆227Updated last year
- [Briefings In Bioinformatics] DrugAssist: A Large Language Model for Molecule Optimization☆135Updated 5 months ago
- ☆13Updated 3 years ago
- [AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.☆214Updated 2 years ago
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆124Updated 2 years ago
- Trainable PyTorch framework for developing protein, RNA and complex models.☆259Updated 10 months ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated 2 years ago
- Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".☆49Updated 3 years ago
- [AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.☆199Updated 2 years ago
- The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"☆255Updated last year
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆44Updated 3 years ago
- [ICML 2025] Implementation of "GNN+ (ModernGNN): Can Classic GNNs Be Strong Baselines for Graph-level Tasks?"☆76Updated last month
- Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]☆90Updated last year
- Official PyTorch implementation of "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks"☆37Updated 2 years ago
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆61Updated 2 years ago
- Subgraph-conditioned Graph Information Bottleneck (S-CGIB) is a novel architecture for pre-training Graph Neural Networks in molecular pr…☆13Updated 2 months ago
- GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts (NeurIPS 2024)☆27Updated 6 months ago
- ☆29Updated 4 years ago
- [KDD'22] Source codes of "Graph Rationalization with Environment-based Augmentations"☆45Updated 5 months ago
- Implementation of the Knowledge Transferable Graph Neural Network (KTGNN), published on WWW2023☆50Updated 2 years ago
- Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"☆40Updated 3 years ago
- [ICLR'24] Enhancing Healthcare Predictions with Personalized Knowledge Graphs☆180Updated 7 months ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Updated 4 years ago
- ☆167Updated last year
- ☆27Updated last year
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆39Updated last year