xiangyue9607 / BioNEVLinks
Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bioinformatics 2020)
☆227Updated 5 years ago
Alternatives and similar repositories for BioNEV
Users that are interested in BioNEV are comparing it to the libraries listed below
Sorting:
- Graph convolutional neural network for multirelational link prediction☆460Updated 2 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆259Updated 4 years ago
- PGCN: Disease gene prioritization by disease and gene embedding through GCN☆79Updated last year
- Implementation of R-GCNs for Relational Link Prediction☆457Updated 2 years ago
- ☆64Updated 5 years ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆175Updated 2 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆236Updated 2 years ago
- Distance Encoding for GNN Design☆187Updated 4 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆150Updated 2 years ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆426Updated 4 years ago
- This is a TensorFlow implementation of the Adversarially Regularized Graph Autoencoder(ARGA) model as described in our paper: Pan, S., …☆184Updated 3 years ago
- A Network Integration Approach for Drug-Target Interaction Prediction☆181Updated 2 years ago
- ☆352Updated 5 years ago
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆325Updated 2 years ago
- Python Implementation for Random Walk with Restart (RWR)☆121Updated 2 years ago
- A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)☆210Updated 2 years ago
- Pytorch implementation of a RGCN Link Prediction Model☆256Updated 4 years ago
- OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.☆152Updated last year
- ☆173Updated 6 years ago
- Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddin…☆231Updated 2 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆133Updated 4 years ago
- Subgraph Neural Networks (NeurIPS 2020)☆198Updated 4 years ago
- Representation-Learning-on-Heterogeneous-Graph☆443Updated 5 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆290Updated 3 years ago
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 8 months ago
- hypergraph representation learning, graph neural network☆98Updated last year
- Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"☆56Updated 4 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Updated 6 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated 2 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 7 years ago