predict-idlab / RR-GCN
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
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loaderβ25Updated 2 years ago
- π KG Inductive Link Prediction Challenge (ILPC) 2022β84Updated 2 years ago
- ποΈ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddingsβ25Updated 9 months ago
- β28Updated last year
- A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).β121Updated 3 years ago
- (Personalized) Page-Rank computation using PyTorchβ88Updated 2 years ago
- Graph Neural Networks for Knowledge Graph Link Prediction (WSDM 2022) (Pytorch)β58Updated 3 years ago
- β30Updated last year
- Relation-aware Ensemble Learning for Knowledge Graph Embedding. EMNLP. 2023β24Updated last year
- β12Updated 3 years ago
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022β68Updated last year
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoeβ¦β65Updated 3 years ago
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)β41Updated 3 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.β45Updated last year
- π Results from the reproducibility and benchmarking studies presented in "Bringing Light Into the Dark: A Large-scale Evaluation of Knowβ¦β35Updated 2 years ago
- PyTorch implementation of the paper "NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning" (AAAI'24)β13Updated 7 months ago
- β15Updated 3 years ago
- Efficient, Simple, and Automated Negative Sampling for Knowledge Graph Embedding. VLDBJ 2020.β12Updated 4 years ago
- A Python library for knowledge graph representation learning (graph embedding).β39Updated 10 months ago
- Source code of "Segmented GRAPH-BERT Model"β23Updated 4 years ago
- Code for the paper "Query Embedding on Hyper-relational Knowledge Graphs"β31Updated 8 months ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Predictionβ38Updated 2 years ago
- code for "Self-supervised edge features for improved Graph Neural Network training", <arxivlink>β23Updated 4 years ago
- β27Updated last month
- β55Updated 2 years ago
- Official Code Repository for the paper "Learning to Extrapolate Knowledge: Transductive Few-shot Out-of-Graph Link Prediction" (NeurIPS 2β¦β58Updated 3 years ago
- Source code for "Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation" (IJCAI 2020)β17Updated 6 months ago
- Drug repurposing for COVID-19 using literature-based discoveryβ27Updated 2 years ago
- Graph Positional and Structural Encoderβ45Updated 3 weeks ago
- Official Pytorch Implementation of GraphiTβ107Updated 3 years ago