bi-graph / EmgraphLinks
A Python library for knowledge graph representation learning (graph embedding).
β39Updated 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).β127Updated 3 years ago
- π KG Inductive Link Prediction Challenge (ILPC) 2022β85Updated 3 years ago
- Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)β60Updated 3 years ago
- Hyperbolic Knowledge Graph embeddings.β254Updated 4 years ago
- The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)β58Updated 2 years ago
- Compositional and Parameter-Efficient Representations for Large Knowledge Graphs (ICLR'22)β142Updated 3 years ago
- OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.β152Updated last year
- Official Pytorch Implementation of GraphiTβ109Updated 4 years ago
- Inductive relation prediction by subgraph reasoning, ICML'20β238Updated last year
- β95Updated 2 years ago
- Simple yet SoTA Knowledge Graph Embeddings.β109Updated 3 years ago
- Hierarchical Transformers for Knowledge Graph Embeddings (EMNLP 2021)β82Updated last year
- (Personalized) Page-Rank computation using PyTorchβ92Updated 2 years ago
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)β42Updated 4 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.β235Updated 2 years ago
- Official implementation of Neural Bellman-Ford Networks (NeurIPS 2021)β218Updated last year
- here you can find the material used for our Tutorialsβ103Updated 3 years ago
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022β69Updated last year
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loaderβ27Updated 2 years ago
- Code for "R-GCN: The R Could Stand for Random"β37Updated 2 years ago
- Graph Embedding Evaluation / Code and Datasets for "Graph Embedding on Biomedical Networks: Methods, Applications, and Evaluations" (Biβ¦β227Updated 5 years ago
- Code for the paper "Query Embedding on Hyper-relational Knowledge Graphs"β33Updated last year
- GraphXAI: Resource to support the development and evaluation of GNN explainersβ192Updated last year
- Visualization tool for Graph Neural Networksβ253Updated 2 years ago
- π Results from the reproducibility and benchmarking studies presented in "Bringing Light Into the Dark: A Large-scale Evaluation of Knowβ¦β36Updated 3 years ago
- GraphSAGE and GAT for link prediction.β91Updated 5 years ago
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoeβ¦β64Updated 3 years ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)β70Updated 2 years ago
- A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphsβ15Updated last year
- Using pretrained language models for biomedical knowledge graph completion.β47Updated 3 years ago