MacroHongZ / HampDTI
A heterogeneous graph automatic meta-path learning method for drug-target interaction prediction
☆11Updated last year
Related projects ⓘ
Alternatives and complementary repositories for HampDTI
- ☆27Updated 3 years ago
- ☆10Updated 3 years ago
- KGANCDA is effective to predict associations between circRNA and cancer, which is based on knowledge graph attention network. The detail …☆13Updated last year
- MilGNet: Deep Multiple Instance Learning on Heterogeneous Graph for Drug-disease Association Prediction☆12Updated this week
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆29Updated last year
- Multi-view Graph Contrastive Representation Learning for Drug-drug Interaction Prediction☆42Updated 2 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆66Updated 5 months ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆79Updated 3 weeks ago
- Code and Datasets for "Predicting Drug-Disease Associations through Layer Attention Graph Convolutional Networks"☆51Updated last year
- "GraphSHA: Synthesizing Harder Samples for Class-Imbalanced Node Classification" in KDD'23☆28Updated 8 months ago
- Heterogeneous Hypergraph Variational Autoencoder for Link Prediction (T-PAMI 2021)☆32Updated 3 years ago
- Code for KDD'22 paper, COSTA: Covariance-Preserving Feature Augmentation for Graph Contrastive Learning☆47Updated last year
- Ratioanle-aware Graph Contrastive Learning codebase☆39Updated last year
- The implementation of “GANLDA: Graph attention network for lncRNA-disease associations prediction”☆12Updated 3 years ago
- The official source code for "LTE4G: Long-Tail Experts for Graph Neural Networks" paper, accepted at CIKM 2022.☆38Updated 2 years ago
- The code of "Attribute and Structure preserving Graph Contrastive Learning" (AAAI 2023 oral)☆20Updated 6 months ago
- ☆21Updated last year
- [WWW 2022] "SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation"☆77Updated 2 years ago
- KDD'22☆57Updated 2 years ago
- ☆18Updated 11 months ago
- Code for NeurIPS 2022 paper "Rethinking and Scaling Up Graph Contrastive Learning: An Extremely Efficient Approach with Group Discriminat…☆54Updated last year
- ☆30Updated last year
- A Graph Auto-Encoder Model for MiRNA-Disease Associations Prediction☆22Updated last year
- Codes, datasets and appendix for AAAI-2023 paper "Multi-relational Contrastive Learning Graph Neural Network for Drug-drug Interaction Ev…☆15Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆74Updated this week
- ☆18Updated last year
- The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"☆76Updated 2 years ago
- MVGCN: a novel multi-view graph convolutional network (MVGCN) framework for link prediction in biomedical bipartite networks.☆22Updated 2 years ago
- ☆40Updated 3 months ago
- Implementation of Self-supervised Graph-level Representation Learning with Local and Global Structure (ICML 2021).☆77Updated 3 years ago