mims-harvard / decagonLinks
Graph convolutional neural network for multirelational link prediction
☆458Updated 2 years ago
Alternatives and similar repositories for decagon
Users that are interested in decagon are comparing it to the libraries listed below
Sorting:
- Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Bi…☆227Updated 5 years ago
- Implementation of R-GCNs for Relational Link Prediction☆457Updated 2 years ago
- ☆352Updated 5 years ago
- Representation learning for link prediction within social networks☆351Updated 6 years ago
- ☆491Updated 4 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Updated 5 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆843Updated 3 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆474Updated 6 years ago
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆526Updated 4 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆258Updated 4 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆290Updated 3 years ago
- Strategies for Pre-training Graph Neural Networks☆1,018Updated last year
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Updated 6 months ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆642Updated 2 years ago
- SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural…☆656Updated 3 years ago
- ☆423Updated 6 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- Simple reference implementation of GraphSAGE.☆1,022Updated 5 years ago
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆326Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆395Updated last year
- A knowledge graph and a set of tools for drug repurposing☆642Updated 3 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆351Updated last week
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 2 years ago
- gnn explainer☆967Updated 9 months ago
- Hierarchical Graph Pooling with Structure Learning☆340Updated 3 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆492Updated 10 months ago
- Gaussian node embeddings. Implementation of "Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking".☆174Updated 2 years ago
- ☆173Updated 6 years ago
- [ICLR 2020; IPDPS 2019] Fast and accurate minibatch training for deep GNNs and large graphs (GraphSAINT: Graph Sampling Based Inductive L…☆488Updated 2 years ago
- Materials for DGL hands-on tutorial in WWW 2020☆504Updated 4 years ago