ronanmmurphy / Knowledge-Graph-Embeddings-to-Implement-Explainability
Knowledge Graph Embeddings (KGE) to implement Explainable Artificial Intelligence. As AI develops users must know how algorithms make their decisions, especially for hazardous tasks such as driverless cars. Knowledge graphs are an inherently understandable form of text-based data created as an interconnected network of information. These can be …
☆11Updated 4 years ago
Alternatives and similar repositories for Knowledge-Graph-Embeddings-to-Implement-Explainability:
Users that are interested in Knowledge-Graph-Embeddings-to-Implement-Explainability 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
- ☆28Updated last year
- ☆20Updated 2 years ago
- ☆21Updated last year
- 🏅 KG Inductive Link Prediction Challenge (ILPC) 2022☆84Updated 3 years ago
- prakhargurawa / Drug-Similarity-and-Link-Prediction-using-Graph-Embeddings-on-Medical-Knowledge-GraphUtilizing graphical neural networks and embeddings on a medical database KEGG to perform link predictions and drug similarity systems.☆17Updated 3 years ago
- Drug repurposing for COVID-19 using literature-based discovery☆27Updated 2 years ago
- Code for the paper "Query Embedding on Hyper-relational Knowledge Graphs"☆31Updated 10 months ago
- Relation-aware Ensemble Learning for Knowledge Graph Embedding. EMNLP. 2023☆23Updated last year
- XAI framework for interpreting Link Predictions on Knowledge Graphs☆42Updated 2 months ago
- Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning with 1 dollar.☆57Updated last year
- 📊 Results from the reproducibility and benchmarking studies presented in "Bringing Light Into the Dark: A Large-scale Evaluation of Know…☆35Updated 2 years ago
- RAGAT: Relation Aware Graph Attention Network for Knowledge Graph Completion☆57Updated 9 months ago
- Code for "R-GCN: The R Could Stand for Random"☆37Updated last year
- Must-read papers on Knowledge Graph Embedding☆26Updated 4 years ago
- PyG re-implementation of Neural Bellman-Ford Networks (NeurIPS 2021)☆66Updated 2 years ago
- ☆14Updated 9 months ago
- Embeddings for ontologies in the Description Logic EL++☆25Updated 2 years ago
- ☆18Updated 2 years ago
- ☆30Updated last year
- ☆78Updated 3 years ago
- Knowledge Graph summarization for anomaly/error detection & completion (WebConf '20)☆37Updated 4 years ago
- [Paper][SIGIR2022] Meta-Knowledge Transfer for Inductive Knowledge Graph Embedding☆44Updated 2 years ago
- A Scholarly Knowledge Graph Benchmark Dataset☆16Updated 2 years ago
- This is the source code of DKGE.☆26Updated 2 years ago
- Biomedical Relation Extraction with Knowledge Graph-based Recommendations☆9Updated last year
- Knowledge Association with Hyperbolic Knowledge Graph Embeddings, EMNLP 2020☆41Updated 4 years ago
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022☆69Updated last year
- PyTorch implementation of the paper "NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning" (AAAI'24)☆13Updated 8 months ago
- Implementation of ExCut: Explainable Embedding-based Clustering over Knowledge Graphs☆10Updated 3 years ago