ZJUDataIntelligence / GNN-PPILinks
☆16Updated 3 years ago
Alternatives and similar repositories for GNN-PPI
Users that are interested in GNN-PPI are comparing it to the libraries listed below
Sorting:
- GNNExplainer implementation using DGL☆31Updated 4 years ago
- Use python to parse the Drugbank.xml file, including drug-target interaction, drug-drug interaction, drug classification, drug descriptio…☆29Updated 3 years ago
- Forecasting Credit Default Risk with Graph Attention Networks☆22Updated 3 years ago
- ☆10Updated 7 years ago
- A curated list for awesome graph representation learning resources.☆154Updated 3 years ago
- Influence-Based Mini-Batching (IBMB), as proposed in "Influence-Based Mini-Batching for Graph Neural Networks" (LoG 2022)☆19Updated 3 years ago
- A Multi-relational Graph-Based Twitter Account Detection Benchmark☆65Updated 2 years ago
- ☆12Updated last year
- Code for NeurIPS 2022 paper "Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks"☆195Updated last year
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆104Updated 4 years ago
- Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".☆25Updated 3 years ago
- Code for paper "EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning"☆123Updated last year
- Codes, datasets and appendix for AAAI-2023 paper "Multi-relational Contrastive Learning Graph Neural Network for Drug-drug Interaction Ev…☆18Updated 11 months ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆63Updated 3 years ago
- Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)☆17Updated 2 years ago
- Conditional Constrained Graph Variational Autoencoders (CCGVAE) for Molecule Design☆20Updated 5 years ago
- Official PyTorch implementation of "Molecular Representation Learning via Heterogeneous Motif Graph Neural Networks"☆37Updated 3 years ago
- DeepGS: Deep Representation Learning of Graphs and Sequences for Drug-Target Binding Affinity Prediction (ECAI 2020)☆26Updated 5 years ago
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆27Updated 3 years ago
- ☆10Updated 3 years ago
- Heterogeneous Molecular Graph Neural Network☆28Updated 5 years ago
- DeepDrug: A general graph-based deep learning framework for drug relation prediction☆62Updated 3 years ago
- SkipGNN: Predicting Molecular Interactions with Skip-Graph Networks (Scientific Reports)☆65Updated 5 years ago
- Code of our IJCAI2021 paper: "Learning Attributed Graph Representation with Communicative Message Passing Transformer"☆40Updated 3 years ago
- ☆20Updated 4 years ago
- ☆101Updated 3 years ago
- ☆34Updated 5 years ago
- Predicting drug-target interaction using multi-label learning with community detection method (DTI-MLCD)☆13Updated 5 years ago
- ☆29Updated 5 years ago
- Awesome Protein Representation Learning☆687Updated last year