dobraczka / kiez
🏘️ Hubness reduced nearest neighbor search for entity alignment with knowledge graph embeddings
☆25Updated 8 months ago
Alternatives and similar repositories for kiez:
Users that are interested in kiez 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-loader☆25Updated 2 years ago
- 🏅 KG Inductive Link Prediction Challenge (ILPC) 2022☆84Updated 2 years ago
- 📊 Results from the reproducibility and benchmarking studies presented in "Bringing Light Into the Dark: A Large-scale Evaluation of Know…☆35Updated 2 years ago
- Knowledge Graph Embeddings learned from the structure and literals of knowledge graphs☆44Updated 2 years ago
- Code for the paper "Query Embedding on Hyper-relational Knowledge Graphs"☆31Updated 8 months ago
- Scalable and fast non-redundant rule application for link prediction☆44Updated 4 months ago
- Hierarchical graph clustering☆38Updated 6 years ago
- "Inductive Entity Representations from Text via Link Prediction" @ The Web Conference 2021☆60Updated last year
- Using pretrained language models for biomedical knowledge graph completion.☆46Updated 3 years ago
- Collective Multi-type Entity Alignment Between Knowledge Graphs (WWW'20)☆32Updated 4 years ago
- Embeddings for ontologies in the Description Logic EL++☆25Updated last year
- Multimodal Transformers for biomedical text and Knowledge Graph data☆32Updated last year
- Code for paper "A Critical Assessment of State-of-the-Art in Entity Alignment" (https://arxiv.org/abs/2010.16314)☆16Updated last year
- Knowledge Hypergraphs: Prediction Beyond Binary Relations is a ServiceNow Research project that was started at Element AI.☆30Updated 2 years ago
- ☆32Updated 6 years ago
- Decorators for maximizing memory utilization with PyTorch & CUDA☆15Updated 5 months ago
- The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.☆16Updated last year
- "Answering queries over Knowledge Graphs with Graph Convolutional Networks" @ ICLR 2020 Workshop on Graph Representation Learning☆15Updated 4 years ago
- Author Disambiguation using Knowledge Graph Embeddings with Literals☆18Updated 2 years ago
- A Modular Framework for Learning on Multimodal Biomedical Knowledge Graphs☆13Updated last year
- Code to train open knowledge graph embeddings and to create a benchmark for open link prediction.☆25Updated last year
- EMNLP 2020: Message Passing for Hyper-Relational Knowledge Graphs☆87Updated last year
- Knowledge Graph summarization for anomaly/error detection & completion (WebConf '20)☆36Updated 4 years ago
- Implements various negative sampling techniques for learning knowledge graph embeddings☆39Updated 5 years ago
- A computational library for learning and evaluating biological knowledge graph embeddings - please see the main PyKEEN repo at https://gi…☆45Updated 2 years ago
- ☆21Updated last year
- ☆28Updated last year
- Compositional and Parameter-Efficient Representations for Large Knowledge Graphs (ICLR'22)☆141Updated 2 years ago
- Hardware-agnostic Framework for Large-scale Knowledge Graph Embeddings☆49Updated this week