R
RE-Net
INK-USC/RE-Net
Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)
★463stars
Python
Updated: 1mo ago
📋 Project at a Glance
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What's this?Models project leveraging dynamic-networks and graph-neural-networks, built with Python, open-source
Who made it?Maintained by INK-USC team, 463⭐ on GitHub, #1869 out of 3201 in Models
Why does it exist?In the Models space, dynamic-networks workflows faced efficiency bottlenecks. RE-Net was built by INK-USC to address these graph-neural-networks challenges.
What can it do?Key use cases: knowledge-graph, reasoning, temporal-networks
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/INK-USC/RE-Net | 官网 http://inklab.usc.edu/renet/
🔗 github.com/INK-USC/RE-Net | 官网 http://inklab.usc.edu/renet/
Topics
dynamic-networksgraph-neural-networksknowledge-graphreasoningtemporal-networks