JinheonBaek / RGCNLinks
Pytorch implementation of a RGCN Link Prediction Model
☆255Updated 3 years ago
Alternatives and similar repositories for RGCN
Users that are interested in RGCN are comparing it to the libraries listed below
Sorting:
- Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding☆422Updated 4 years ago
- Inductive relation prediction by subgraph reasoning, ICML'20☆238Updated 11 months ago
- Implementation of R-GCNs for Relational Link Prediction☆457Updated 2 years ago
- Pytorch implementation of Relational GCN for node classification☆76Updated 2 years ago
- The code of paper Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction. Zhanqiu Zhang, Jianyu Cai, Yongdong Zhang, Jie…☆256Updated 4 years ago
- ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks☆620Updated 11 months ago
- Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond☆258Updated 4 years ago
- Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)☆446Updated 3 years ago
- A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).☆126Updated 3 years ago
- An Open-Source Toolkit for Heterogeneous Information Network Embedding (HINE)☆323Updated 2 years ago
- 异构图神经网络HAN。Heterogeneous Graph Attention Network (HAN) with pytorch☆111Updated 2 years ago
- code of HetGNN☆407Updated 5 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
- This project analyzes the results of various models for Link Prediction on Knowledge Graphs using Knowledge Graph Embeddings. It allows t…☆74Updated 5 years ago
- Implementation for the paper: Representation Learning on Knowledge Graphs for Node Importance Estimation☆37Updated 2 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆235Updated 2 years ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆325Updated last year
- Implementation of TransE model in PyTorch.☆158Updated 2 years ago
- Source code and dataset for KDD 2020 paper "Adaptive Graph Encoder for Attributed Graph Embedding"☆114Updated 2 years ago
- GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020☆328Updated 2 years ago
- GraphSAGE and GAT for link prediction.☆91Updated 5 years ago
- End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion☆113Updated 4 years ago
- Knowledge Embedding Based Graph Convolutional Network (WWW 2021)☆46Updated 4 years ago
- Heterogeneous graph attention network for semi-supervised short text classification (EMNLP 2019, TOIS 2021)☆262Updated 4 years ago
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆174Updated last year
- Representation learning on dynamic graphs using self-attention networks☆296Updated 2 years ago
- [GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)☆329Updated last year
- Datasets-for-Heterogeneous-Graph☆132Updated 5 years ago
- Representation-Learning-on-Heterogeneous-Graph☆441Updated 5 years ago
- Implementation of EMNLP2020 -- Be More with Less: Hypergraph Attention Networks for Inductive Text Classification☆110Updated 4 years ago