nealgravindra / self-supervsed_edge_featsLinks
code for "Self-supervised edge features for improved Graph Neural Network training", <arxivlink>
☆24Updated 4 years ago
Alternatives and similar repositories for self-supervsed_edge_feats
Users that are interested in self-supervsed_edge_feats are comparing it to the libraries listed below
Sorting:
- Disease subnetwork detection with explainable Graph Neural Networks☆23Updated last year
- A simple implementation of the paper "Disease Prediction via Graph Neural Networks".☆22Updated 4 years ago
- ☆140Updated 4 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
- ☆19Updated 2 years ago
- Drug repurposing for COVID-19 using literature-based discovery☆28Updated 2 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Updated 2 years ago
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- ☆10Updated 3 years ago
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆18Updated 2 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)☆126Updated last year
- hypergraph representation learning, graph neural network☆98Updated last year
- [PAKDD 2021] Graph InfoClust: Leveraging cluster-level node information for unsupervised graph representation learning☆34Updated 3 years ago
- ☆51Updated 4 years ago
- [ML4H 2022] This is the code for our paper `Counterfactual and Factual Reasoning over Hypergraphs for Interpretable Clinical Predictions …☆26Updated last year
- [Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summa…☆87Updated last year
- An VGAE implementation using pytorch geometric.☆46Updated 5 years ago
- ☆26Updated 4 years ago
- Reimplementation of Graph Autoencoder by Kipf & Welling with DGL.☆64Updated 2 years ago
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)☆42Updated 4 years ago
- GripNet: Graph Information Propagation on Supergraph for Heterogeneous Graphs (PatternRecognit, 2023)☆16Updated 2 years ago
- ☆77Updated 4 years ago
- Edge-Augmented Graph Transformer☆50Updated 3 years ago
- An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.☆61Updated 5 years ago
- Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bi…☆228Updated 5 years ago
- ☆64Updated 5 years ago
- Collection of resources related with Graph Contrastive Learning.☆34Updated 4 years ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆46Updated 4 years ago
- Pytorch implementation of Influence Augmented Contrastive (IAC) loss and SCGC : Self-Supervised Contrastive Graph Clustering (https://a…☆22Updated 3 years ago
- Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders (IJCAI 2018)☆32Updated 6 years ago