bi-graph / EmgraphLinks
A Python library for knowledge graph representation learning (graph embedding).
☆39Updated last year
Alternatives and similar repositories for Emgraph
Users that are interested in Emgraph are comparing it to the libraries listed below
Sorting:
- A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).☆125Updated 3 years ago
- Bipartite-network link prediction in Python☆94Updated 3 years ago
- Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)☆60Updated 3 years ago
- 🏅 KG Inductive Link Prediction Challenge (ILPC) 2022☆85Updated 3 years ago
- Implementation of SimplE Embedding for Link Prediction in Knowledge Graphs in PyTorch☆117Updated 4 years ago
- Combining relational context and relational paths for knowledge graph completion☆136Updated 3 years ago
- OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.☆152Updated last year
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)☆42Updated 4 years ago
- Code for the paper "Query Embedding on Hyper-relational Knowledge Graphs"☆33Updated last year
- Inductive relation prediction by subgraph reasoning, ICML'20☆238Updated 11 months ago
- GraphSAGE and GAT for link prediction.☆91Updated 5 years ago
- Compositional and Parameter-Efficient Representations for Large Knowledge Graphs (ICLR'22)☆142Updated 3 years ago
- Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆216Updated last year
- QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings (TheWebConf WWW 2022) (Pytorch)☆38Updated 3 years ago
- Pytorch implementation of a RGCN Link Prediction Model☆254Updated 3 years ago
- Combining relational context and relational paths for knowledge graph completion☆62Updated 5 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆234Updated 2 years ago
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loader☆27Updated 2 years ago
- Code for "R-GCN: The R Could Stand for Random"☆37Updated last year
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆69Updated 2 years ago
- Simple yet SoTA Knowledge Graph Embeddings.☆109Updated 3 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆139Updated 4 months ago
- tNodeEmbed☆79Updated 2 years ago
- Hyperbolic Knowledge Graph embeddings.☆254Updated 4 years ago
- 📊 Results from the reproducibility and benchmarking studies presented in "Bringing Light Into the Dark: A Large-scale Evaluation of Know…☆36Updated 3 years ago
- RAGAT: Relation Aware Graph Attention Network for Knowledge Graph Completion☆57Updated last year
- Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.☆68Updated last year
- Hierarchical Transformers for Knowledge Graph Embeddings (EMNLP 2021)☆82Updated 11 months ago
- AAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions☆89Updated 11 months ago
- Joint Multilingual Knowledge Graph Completion and Alignment (Findings of EMNLP 2022) (Pytorch)☆36Updated 2 years ago