carpenter-singh-lab / 2024_Arevalo_NeurIPS_MotiVELinks
☆19Updated last month
Alternatives and similar repositories for 2024_Arevalo_NeurIPS_MotiVE
Users that are interested in 2024_Arevalo_NeurIPS_MotiVE are comparing it to the libraries listed below
Sorting:
- GraphCDR: A graph neural network method with contrastive learning for cancer drug response prediction☆29Updated 3 years ago
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop☆30Updated 4 years ago
- An end-to-end heterogeneous graph representation learning-based framework for drug-target interaction prediction☆30Updated 3 years ago
- Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge☆41Updated 2 years ago
- ☆34Updated 4 years ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆80Updated 4 years ago
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022☆30Updated 2 years ago
- [Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summa…☆87Updated last year
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆44Updated 3 years ago
- ☆16Updated 3 years ago
- Drug repositioning with adaptive graph convolutional networks☆15Updated last year
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆64Updated 5 years ago
- Communicative Subgraph Representation Learning for Multi-Relational Inductive Drug-Gene Interaction Prediction☆11Updated 2 years ago
- The code for "Learning Molecular Representation in a Cell"☆36Updated 6 months ago
- Gene expression time-series extrapolation for heterogeneous data☆18Updated 2 years ago
- Disease subnetwork detection with explainable Graph Neural Networks☆24Updated last year
- PyTorch implementation of "TGSA: Protein-Protein Association-Based Twin Graph Neural Networks for Drug Response Prediction with Similarit…☆24Updated 3 years ago
- TIP: Tri-graph Interaction Propagation model for Polypharmacy Side Effect Prediction (GRL@NeurIPS, 2019)☆24Updated 2 years ago
- The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".☆43Updated 2 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"☆24Updated 2 years ago
- ☆16Updated 3 years ago
- Code for the papers: "Graph Representation Learning for Multi-Task Settings: a Meta-Learning Approach", "A Meta-Learning Approach for Gra…☆18Updated 3 years ago
- ☆89Updated 2 years ago
- MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.☆22Updated 3 years ago
- [NeurIPS 2023] "Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules"☆39Updated last year
- Implementation of "Explainability Methods for Graph Convolutional Neural Networks" from HRL Laboratories☆84Updated 3 years ago
- Structured Multi-task Learning for Molecular Property Prediction, AISTATS'22 (https://proceedings.mlr.press/v151/liu22e.html)☆13Updated 3 years ago
- ☆12Updated 2 years ago
- ☆57Updated 6 years ago