predict-idlab / RR-GCNLinks
Code for "R-GCN: The R Could Stand for Random"
β37Updated last year
Alternatives and similar repositories for RR-GCN
Users that are interested in RR-GCN are comparing it to the libraries listed below
Sorting:
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loaderβ25Updated 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
- Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)β60Updated 3 years ago
- Official Pytorch Implementation of GraphiTβ109Updated 3 years ago
- π KG Inductive Link Prediction Challenge (ILPC) 2022β85Updated 3 years ago
- (Personalized) Page-Rank computation using PyTorchβ92Updated 2 years ago
- β31Updated 2 years ago
- A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).β125Updated 3 years ago
- ποΈ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddingsβ25Updated last year
- 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
- Source code of "Segmented GRAPH-BERT Model"β23Updated 4 years ago
- Transformers are Graph Neural Networks!β54Updated 4 years ago
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)β42Updated 3 years ago
- Knowledge Graph Embeddings (KGE) to implement Explainable Artificial Intelligence. As AI develops users must know how algorithms make theβ¦β11Updated 4 years ago
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022β69Updated last year
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statisticalβ¦β51Updated 2 years ago
- A Python library for knowledge graph representation learning (graph embedding).β39Updated last year
- β13Updated 4 years ago
- QuatRE: Relation-Aware Quaternions for Knowledge Graph Embeddings (TheWebConf WWW 2022) (Pytorch)β38Updated 3 years ago
- Graph Positional and Structural Encoderβ50Updated 4 months ago
- β27Updated 4 months ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).β62Updated 3 years ago
- Using pretrained language models for biomedical knowledge graph completion.β47Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]β69Updated 2 years ago
- here you can find the material used for our Tutorialsβ100Updated 3 years ago
- β82Updated 3 years ago
- Repository associated to the paper: "Explaining the Explainers in Graph Neural Networks: a Comparative Study"β35Updated last year
- Hypernetwork Knowledge Graph Embeddingsβ53Updated 5 years ago
- Quaternion Graph Neural Networks (ACML 2021) (Pytorch and Tensorflow)β49Updated 3 years ago
- β29Updated last year