thiviyanT / torch-rgcnLinks
A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).
☆125Updated 3 years ago
Alternatives and similar repositories for torch-rgcn
Users that are interested in torch-rgcn are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of a RGCN Link Prediction Model☆254Updated 3 years ago
- Pytorch implementation of Relational GCN for node classification☆76Updated 2 years ago
- Inductive relation prediction by subgraph reasoning, ICML'20☆238Updated 11 months ago
- Combining relational context and relational paths for knowledge graph completion☆136Updated 3 years ago
- 🏅 KG Inductive Link Prediction Challenge (ILPC) 2022☆85Updated 3 years ago
- The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie…☆254Updated 4 years ago
- GraphSAGE and GAT for link prediction.☆91Updated 5 years ago
- Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on Deep Graph Library (DGL)☆74Updated 2 years ago
- Implementation of TransE model in PyTorch.☆158Updated 2 years ago
- Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆216Updated last year
- Diachronic Embedding for Temporal Knowledge Graph Completion☆86Updated 11 months ago
- Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)☆60Updated 3 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆234Updated 2 years ago
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆620Updated 11 months ago
- An PyTorch implementation of graph neural networks (GCN, GraphSAGE and GAT) that can be simply imported and used.☆61Updated 5 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated last year
- This project analyzes the results of various models for Link Prediction on Knowledge Graphs using Knowledge Graph Embeddings. It allows t…☆74Updated 4 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆330Updated last year
- Representation learning on dynamic graphs using self-attention networks☆294Updated 2 years ago
- Implementation of SimplE Embedding for Link Prediction in Knowledge Graphs in PyTorch☆117Updated 4 years ago
- Unsupervised Attributed Multiplex Network Embedding (AAAI 2020)☆149Updated 2 years ago
- AAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions☆89Updated 11 months ago
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆421Updated 4 years ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆258Updated 4 years ago
- This is the official code release of the following paper: Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzh…☆146Updated 2 years ago
- CTGCN: k-core based Temporal Graph Convolutional Network for Dynamic Graphs (accepted by IEEE TKDE in 2020) https://ieeexplore.ieee.org/…☆96Updated 2 years ago
- The source code of HeCo☆166Updated 3 years ago
- QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings (TheWebConf WWW 2022) (Pytorch)☆38Updated 3 years ago
- The code of paper Rethinking Graph Convolutional Networks in Knowledge Graph Completion. Zhanqiu Zhang, Jie Wang, Jieping Ye, Feng Wu. WW…☆63Updated 3 years ago
- End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion☆113Updated 4 years ago