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:
- ☆11Updated 10 months ago
- Influence-Based Mini-Batching (IBMB), as proposed in "Influence-Based Mini-Batching for Graph Neural Networks" (LoG 2022)☆19Updated 2 years ago
- Code for NeurIPS 2022 paper "Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks"☆197Updated last year
- Code for paper "EasyDGL: Encode, Train and Interpret for Continuous-time Dynamic Graph Learning"☆124Updated last year
- Facilitating learning, using, and designing graph processing pipelines/models systematically.☆26Updated 3 years ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated 2 years ago
- Forecasting Credit Default Risk with Graph Attention Networks☆19Updated 3 years ago
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.☆44Updated 6 months ago
- ☆10Updated 6 years ago
- Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)☆17Updated last year
- GNNExplainer implementation using DGL☆32Updated 4 years ago
- Codes, datasets and appendix for AAAI-2023 paper "Multi-relational Contrastive Learning Graph Neural Network for Drug-drug Interaction Ev…☆18Updated 7 months ago
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆20Updated last year
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"☆37Updated 2 years ago
- A Multi-relational Graph-Based Twitter Account Detection Benchmark☆61Updated 2 years ago
- Code for the paper "Resource-efficient quantum algorithm for protein folding"☆13Updated 3 months ago
- Use python to parse the Drugbank.xml file, including drug-target interaction, drug-drug interaction, drug classification, drug descriptio…☆28Updated 3 years ago
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆44Updated 3 years ago
- [NeurIPS 2024] Implementation of "Enhancing Graph Transformers with Hierarchical Distance Structural Encoding"☆16Updated 4 months ago
- Neural Subgraph Matching Paper: "AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching". [Neural-Subgraph-Matching Method For Lear…☆56Updated 2 years ago
- Implementation of the SPN model and the experiments from the LoG 2022 paper "Shortest Path Networks for Graph Property Prediction".☆25Updated 2 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆102Updated 4 years ago
- Hodge/Bochner Laplacians of simplicial complexes, their spectra, higher-order diffusion and random walks☆31Updated 2 years ago
- [The Web Conference 2024] GNNShap: Scalable and Accurate GNN Explanation using Shapley Values☆37Updated last year
- Graph Positional and Structural Encoder☆53Updated 8 months ago
- Gradient gating (ICLR 2023)☆53Updated 2 years ago
- Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods☆70Updated 7 months ago
- A List of Papers on Theoretical Foundations of Graph Neural Networks☆37Updated 6 months ago
- All graph/GNN papers accepted at NeurIPS 2024.☆82Updated 10 months ago
- Explanation method for Graph Neural Networks (GNNs)☆71Updated 5 months ago