pykeen / benchmarkingLinks
π Results from the reproducibility and benchmarking studies presented in "Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework" (http://arxiv.org/abs/2006.13365)
β36Updated 3 years ago
Alternatives and similar repositories for benchmarking
Users that are interested in benchmarking are comparing it to the libraries listed below
Sorting:
- π KG Inductive Link Prediction Challenge (ILPC) 2022β85Updated 3 years ago
- OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.β154Updated last year
- COVID-19 Knowledge Graph: a computable, multi-modal, cause-and-effect knowledge model of COVID-19 pathophysiologyβ44Updated 4 years ago
- β29Updated 2 years ago
- [Bioinformatics 2021] This is the repo for the paper `SumGNN: Multi-typed Drug Interaction Prediction via Efficient Knowledge Graph Summaβ¦β87Updated last year
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loaderβ28Updated 2 years ago
- Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshopβ30Updated 4 years ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)β74Updated 3 years ago
- Drug repurposing for COVID-19 using literature-based discoveryβ28Updated 3 years ago
- Improving Inductive Link Prediction Using Hyper-Relational Factsβ15Updated 3 years ago
- Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligenceβ¦β34Updated 2 months ago
- β57Updated 4 years ago
- β64Updated 5 years ago
- A PyTorch implementation of the Relational Graph Convolutional Network (RGCN).β129Updated 4 years ago
- Code for the paper "Query Embedding on Hyper-relational Knowledge Graphs"β32Updated last year
- ποΈ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddingsβ25Updated last year
- Implements various negative sampling techniques for learning knowledge graph embeddingsβ39Updated 6 years ago
- A Knowledge Graph for Relational Learning On Biological Dataβ106Updated last year
- EMNLP 2020: Message Passing for Hyper-Relational Knowledge Graphsβ88Updated last year
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022β69Updated last year
- β37Updated 7 years ago
- Embeddings for ontologies in the Description Logic EL++β26Updated 2 years ago
- Compositional and Parameter-Efficient Representations for Large Knowledge Graphs (ICLR'22)β143Updated 3 years ago
- Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networksβ60Updated 3 years ago
- β13Updated 3 years ago
- Simple analyses and tutorials on the COVID-19 Knowledge Graphβ14Updated 5 years ago
- Graph meta learning via local subgraphs (NeurIPS 2020)β126Updated last year
- DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data, IEEE BigData 2022β30Updated 2 years ago
- A python implementation of the Ensemble Biclustering for Classification (EBC) algorithm. EBC is a co-clustering algorithm that allows youβ¦β19Updated 8 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.β89Updated 5 years ago