🤖 A Python library for learning and evaluating knowledge graph embeddings
-
Updated
May 31, 2024 - Python
🤖 A Python library for learning and evaluating knowledge graph embeddings
[Paper][Preprint 2024] Mixture of Modality Knowledge Experts for Robust Multi-modal Knowledge Graph Completion
基于 OpenKE-PyTorch 开发的知识图谱嵌入工具包,支持跨平台运行,具备自动超参数搜索、高效并行训练以及实验结果记录功能,为研究与应用提供强大助力。
基于 OpenKE-PyTorch 开发的知识图谱嵌入工具包,支持跨平台运行,具备自动超参数搜索、高效并行训练以及实验结果记录功能,为研究与应用提供强大助力。
My personal website, served at https://cthoyt.com
Code to accompany the "Understanding the Performance of Knowledge Graph Embeddings in Drug Discovery" manuscript (Artificial Intelligence in the Life Sciences, 2022)
Knowledge Graphs Meet Multi-Modal Learning: A Comprehensive Survey
🤖 A Python Package for generating new patient representations driven by data and prior knowledge
A collection of papers, codes, projects, tutorials ... for Knowledge Graph and other NLP methods
Experiments for comparing Knowledge Graph Embeddings (KGEs) on the Wikidata5M dataset based on different Quality Metrics
Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org
How to Turn Your Knowledge Graph Embeddings into Generative Models
Code for NePTuNe: Neural Powered Tucker Network for Knowledge Graph Completion
Python client for ZeroLink
[Tool] For Knowledge Graph Representation Learning
Source code for experiments in the papers "Beyond Benchmarks: Assessing Knowledge Graph Completion Methods on Non-Benchmark Employee Data" (IEEE 2024, yet to be published)
A placeholder for my work in word embeddings and knowledge graph representations
[Paper][Preprint 2023] Making Large Language Models Perform Better in Knowledge Graph Completion
Repository of my master thesis in Data Science at the University of Mannheim, namely "Binarization of Knowledge Graph Embeddings with Semantic Preservation".
During my research, I happen to enjoy implementing algorithms from scratch. Through Fundamentals, I like to share my experiences with others.
Add a description, image, and links to the knowledge-graph-embeddings topic page so that developers can more easily learn about it.
To associate your repository with the knowledge-graph-embeddings topic, visit your repo's landing page and select "manage topics."