HICAI-ZJU / GS-Meta
Code and Data for the paper: Graph Sampling-based Meta-Learning for Molecular Property Prediction [IJCAI2023]
☆18Updated last year
Related projects ⓘ
Alternatives and complementary repositories for GS-Meta
- Code and Data for the paper: Molecular Contrastive Learning with Chemical Element Knowledge Graph [AAAI 2022]☆86Updated 9 months ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆40Updated last year
- Source code for TKDE'22 "KG-MTL: Knowledge Graph Enhanced Multi-Task Learning for Molecular Interaction"☆26Updated 2 years ago
- Open-Protein is an open source pre-training platform that supports multiple protein pre-training models and downstream tasks.☆17Updated last year
- The PyTorch implementation of MoMu, described in "Natural Language-informed Modeling of Molecule Graphs".☆21Updated last year
- Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".☆109Updated 8 months ago
- Codes for "Property-Aware Relation Networks for Few-shot Molecular Property Prediction (NeurIPS 2021)".☆45Updated 2 years ago
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆42Updated 2 years ago
- A collection of resources related with Knowledge-augmented Graph Machine Learning for Drug Discovery.☆19Updated 4 months ago
- ☆25Updated 3 years ago
- Official PyTorch implementation of "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks"☆33Updated last year
- codes for KPGT (Knowledge-guided Pre-training of Graph Transformer)☆92Updated 2 months ago
- [RECOMB 2023] Official implementation of "Pisces: A combo-wise contrastive learning approach to synergistic drug combination prediction".☆14Updated last year
- ☆18Updated last year
- Unified 2D and 3D Pre-Training of Molecular Representations☆28Updated 2 years ago
- Official implementation for Learning Invariant Molecular Representation in Latent Discrete Space (NeurIPS 2023)☆20Updated last year
- related to graph and deep Learning for drug-drug interactions prediction.☆23Updated last year
- SSM-DTA: Breaking the Barriers of Data Scarcity in Drug-Target Affinity Prediction (Briefings in Bioinformatics 2023)☆48Updated 5 months ago
- Code for AAAI 2024 paper "PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein In…☆25Updated 8 months ago
- [BIB 2023] Official implementation of "R2-DDI: Relation-aware Feature Refinement for Drug-drug Interaction Prediction".☆13Updated 8 months ago
- Code and data for the Nature Machine Intelligence paper "Knowledge graph-enhanced molecular contrastive learning with functional prompt".☆10Updated last year
- Official implementation of NeurIPS'21 paper"Motif-based Graph Self-Supervised Learning for Molecular Property Prediction"☆112Updated last year
- [ICLR 2022] OntoProtein: Protein Pretraining With Gene Ontology Embedding☆144Updated last year
- ☆28Updated 9 months ago
- A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text☆23Updated 7 months ago
- The official codes and implementations of HimGNN model in paper:"HimGNN:a novel hierarchical molecular representations learning framewor…☆17Updated last year
- ☆10Updated 2 weeks ago
- Official implementation for AAAI 2022 paper: "GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction".☆17Updated 2 years ago
- ☆14Updated 2 years ago
- ☆20Updated 4 months ago