masakicktashiro / rgcn_pytorch_implementationLinks
☆61Updated 4 years ago
Alternatives and similar repositories for rgcn_pytorch_implementation
Users that are interested in rgcn_pytorch_implementation are comparing it to the libraries listed below
Sorting:
- PyToch implementation of R-GCN model for node classification and link prediction☆41Updated 6 years ago
- Semi-supervised User Profiling with Heterogeneous Graph Attention Networks, IJCAI 2019.☆48Updated 3 years ago
- ☆49Updated 2 years ago
- Source code for AAAI 2019 paper "Relation Structure-Aware Heterogeneous Information Network Embedding"☆56Updated 4 years ago
- Pytorch implementation of Quaternion Knowledge Graph Embeddings.☆109Updated 5 years ago
- End-to-end Structure-Aware Convolutional Networks for Knowledge Base Completion☆113Updated 4 years ago
- Learning to Exploit Long-term Relational Dependencies in Knowledge Graphs, ICML 2019☆100Updated 5 years ago
- ☆137Updated 5 years ago
- ☆104Updated 5 years ago
- Dynamically Pruned Message Passing Networks☆41Updated 2 years ago
- Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks(KDD'18)☆64Updated 6 years ago
- Daily reading group on graphs at KEG☆44Updated 5 years ago
- An implementation of "Graph Structural-topic Neural Network"☆72Updated 4 years ago
- Source code and dataset for KDD 2020 paper "Understanding Negative Sampling in Graph Representation Learning"☆113Updated 3 years ago
- A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)☆144Updated 4 years ago
- A tensorflow implementation of GCN-LPA☆99Updated 5 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 11 months ago
- Knowledge Graph Embedding - Orthogonal Relation Transforms with Graph Context Modeling for Knowledge Graph Embedding☆28Updated 4 years ago
- A TensorFlow implementation of Relational Graph Attention Networks, paper: https://arxiv.org/abs/1904.05811☆118Updated 2 years ago
- Representation learning on large graphs using stochastic graph convolutions.☆138Updated 7 years ago
- Combining relational context and relational paths for knowledge graph completion☆136Updated 3 years ago
- [IJCAI 2019] Source code and datasets for "Hierarchical Graph Convolutional Networks for Semi-supervised Node Classification"☆122Updated last year
- Implementation of Graph Convolutional Networks in TensorFlow☆45Updated 7 years ago
- Interaction Embeddings for Prediction and Explanation in Knowledge Graphs (WSDM'2019)☆23Updated 3 years ago
- Semi-supervised User Profiling with Heterogeneous Graph Attention Networks, IJCAI 19☆24Updated 4 years ago
- Graph Convolutional Networks for Text Classification.☆45Updated 5 years ago
- This is the implementation of paper 'Variational Graph Auto-Encoder' in NIPS Workshop on Bayesian Deep Learning, 2016.☆74Updated 7 years ago
- Graph Star Net☆110Updated last year
- Implementation code for ICML '17 paper "Deep Temporal Reasoning for Dynamic Knowledge Graphs"☆110Updated 7 years ago
- Implementation of SimplE Embedding for Link Prediction in Knowledge Graphs in PyTorch☆117Updated 4 years ago