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Graph networks as learnable physics engines for inference and control
7 months ago
AI for Science
Modeling
Neural Networks
Research Field
Method/Architecture
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Summary
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HyperAI
HyperAI
Main
Home
GPU
Console
Docs
Pricing
Pulse
News
Resources
Papers
Notebooks
Datasets
Wiki
Benchmarks
SOTA
LLM Models
GPU Leaderboard
Community
Events
Utility
Search
About
Terms of Service
Privacy Policy
English
HyperAI
HyperAI
Toggle Sidebar
⌘
K
Command Palette
Search for a command to run...
Sign In
HyperAI
Papers
Graph networks as learnable physics engines for inference and control
7 months ago
AI for Science
Modeling
Neural Networks
Research Field
Method/Architecture
3D Model
Task/Problem
Summary
Paper
Benchmarks
Resources
Benchmarks - Graph networks as learnable physics engines for inference and control | Papers | HyperAI