H
HyTE
malllabiisc/HyTE
EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding
★172stars
Python
Apache-2.0
Updated: 6mo ago
📋 Project at a Glance
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What's this?A open-source Models project, built with Python, focusing on embedding and knowledge-base
Who made it?Maintained by malllabiisc team, 172⭐ on GitHub, #2340 out of 3201 in Models
Why does it exist?As the Models landscape evolved, the malllabiisc team identified the need for better embedding solutions. HyTE was created to simplify knowledge-base workflows.
What can it do?Key use cases: knowledge-graph, machine-learning, representation-learning
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/malllabiisc/HyTE
🔗 github.com/malllabiisc/HyTE
Topics
embeddingknowledge-baseknowledge-graphmachine-learningrepresentation-learningtemporal-informationtensorflowwikidatayago