Graph Neural Network Library for PyTorch
- pytorch
- geometric-deep-learning
- graph-neural-networks
- deep-learning
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Graph Neural Network Library for PyTorch
[ECCV 2026 Best Paper Award Candidate] LingBot-Map: Geometric Context Transformer for Streaming 3D Reconstruction
🐍 Geometric Computer Vision Library for Spatial AI
StellarGraph - Machine Learning on Graphs
An autoML framework & toolkit for machine learning on graphs.
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
High-performance Piecewise Geometric Model (PGM) learned index implementation in pure Rust with strict epsilon error guarantees
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
Multi-stage Riemannian flow matching for physically valid molecular docking, with GNINA scoring, PoseBusters filtering, CLI inference, and benchmarks.
3D shape analysis using deep learning