dobraczka / kiezLinks
ποΈ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings
β25Updated last year
Alternatives and similar repositories for kiez
Users that are interested in kiez are comparing it to the libraries listed below
Sorting:
- Decorators for maximizing memory utilization with PyTorch & CUDAβ17Updated last month
- π KG Inductive Link Prediction Challenge (ILPC) 2022β85Updated 3 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
- A set of benchmark repositories for node classification on knowledge graphs. To use, see https://github.com/pbloem/kgbench-loaderβ28Updated 2 years ago
- Hierarchical graph clusteringβ38Updated 7 years ago
- (Personalized) Page-Rank computation using PyTorchβ92Updated 2 years ago
- Using pretrained language models for biomedical knowledge graph completion.β47Updated 3 years ago
- The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.β18Updated 2 years ago
- Scalable and fast non-redundant rule application for link predictionβ47Updated last year
- Compositional and Parameter-Efficient Representations for Large Knowledge Graphs (ICLR'22)β143Updated 3 years ago
- Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.β68Updated last year
- A python implementation of the Ensemble Biclustering for Classification (EBC) algorithm. EBC is a co-clustering algorithm that allows youβ¦β19Updated 8 years ago
- Author Disambiguation using Knowledge Graph Embeddings with Literalsβ20Updated 3 years ago
- Code for the paper "Query Embedding on Hyper-relational Knowledge Graphs"β32Updated last year
- Embeddings for ontologies in the Description Logic EL++β26Updated 2 years ago
- Hardware-agnostic Framework for Large-scale Knowledge Graph Embeddingsβ52Updated this week
- β21Updated 2 years ago
- Multimodal Transformers for biomedical text and Knowledge Graph dataβ34Updated 2 years ago
- π Results for the Ranking Metrics submission @ GLB 2022β11Updated 3 years ago
- Code for "R-GCN: The R Could Stand for Random"β37Updated 2 years ago
- A Python library for knowledge graph representation learning (graph embedding).β39Updated last year
- Code for paper "A Critical Assessment of State-of-the-Art in Entity Alignment" (https://arxiv.org/abs/2010.16314)β16Updated 2 years ago
- OntoMerger is an ontology alignment library for deduplicating knowledge graph nodes that represent the same domain.β99Updated last year
- β33Updated 7 years ago
- New Algorithms for Learning on Hypergraphsβ41Updated 3 years ago
- Knowledge Graph Embeddings (KGE) to implement Explainable Artificial Intelligence. As AI develops users must know how algorithms make theβ¦β13Updated 4 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
- Knowledge Graph Embeddings learned from the structure and literals of knowledge graphsβ45Updated 3 years ago
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022β69Updated last year
- EMNLP 2020: Message Passing for Hyper-Relational Knowledge Graphsβ88Updated last year