mims-harvard / decagon
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
- Strategies for Pre-training Graph Neural Networks☆1,009Updated last year
- ☆350Updated 5 years ago
- ☆422Updated 6 years ago
- Implementation of R-GCNs for Relational Link Prediction☆457Updated 2 years ago
- Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric☆348Updated 2 years ago
- Code for KDD'20 "Generative Pre-Training of Graph Neural Networks"☆492Updated 9 months ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆257Updated 4 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆641Updated 2 years ago
- ☆490Updated 4 years ago
- A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).☆273Updated 2 years ago
- A PyTorch implementation of ACM SIGKDD 2019 paper "Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks"☆387Updated 9 months ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric☆833Updated last year
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆321Updated 5 months ago
- Representation learning on dynamic graphs using self-attention networks☆293Updated 2 years ago
- OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.☆151Updated last year
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆234Updated last year
- The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""☆525Updated 4 years ago
- [DSAA 2018] Autoencoders for Link Prediction and Semi-Supervised Node Classification☆255Updated 5 years ago
- Position-aware Graph Neural Networks☆399Updated 4 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆474Updated 6 years ago
- A Repository of Benchmark Graph Datasets for Graph Classification (31 Graph Datasets In Total).☆291Updated 3 years ago
- Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)☆669Updated 2 years ago
- Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020☆394Updated 11 months ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆843Updated 3 years ago
- gnn explainer☆951Updated 8 months ago
- Representation learning for link prediction within social networks☆350Updated 6 years ago
- A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).☆325Updated 2 years ago
- Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" …☆319Updated last year
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆414Updated 4 years ago