A list of awesome GNN systems.
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Updated
May 26, 2024 - Python
A list of awesome GNN systems.
autoupdate paper list
XFlow - A Python Library for Graph Flow
PyGDA is a Python library for Graph Domain Adaptation.
Code for "Optimizing ZX-Diagrams with Deep Reinforcement Learning"
Contextualizing protein representations using deep learning on protein networks and single-cell data
A python package and collection of scripts for computing protein surface meshes, chemical, electrostatic, geometric features, and building/training graph neural network models of protein-nucleic acid binding
The integration of HugeGraph with artificial intelligence
Next-generation scheduling problem solver based on GNNs and Reinforcement Learning
PyHGF: A neural network library for predictive coding
Python package built to ease deep learning on graph, on top of existing DL frameworks.
DANCE: a deep learning library and benchmark platform for single-cell analysis
Graph Neural Network Library for PyTorch
All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.
TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"
Redes convolucionales definidas en grafos para la predicción de nuevas asociaciones gen-enfermedad
Early release of the official implementation for "GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts"
Python infrastructure to train paths selectors for symbolic execution engines.
Fusion of protein sequence and structural information, using denoising pre-training network for protein engineering (zero-shot).
A modular message-passing scheme reflecting the relational model for end-to-end deep learning from databases
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