Advanced Graph Clustering method documentation and implementation (From Spectral Clustering to Deep Graph Clustering)
-
Updated
May 23, 2024 - Jupyter Notebook
Advanced Graph Clustering method documentation and implementation (From Spectral Clustering to Deep Graph Clustering)
PyHGF: A neural network library for predictive coding
Contextualizing protein representations using deep learning on protein networks and single-cell data
All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.
autoupdate paper list
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
Graph Neural Network Library for PyTorch
TheWebConf'24 full paper - "Linear-Time Graph Neural Networks for Scalable Recommendations"
Python package built to ease deep learning on graph, on top of existing DL frameworks.
XFlow - A Python Library for Graph Flow
A list of awesome GNN systems.
A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations
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"
gRNAde: Geometric Deep Learning for 3D RNA inverse design
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
Graph neural networks for autonomous driving
[ICLR 2024] Official implementation of the paper "GNNBoundary"
Add a description, image, and links to the graph-neural-networks topic page so that developers can more easily learn about it.
To associate your repository with the graph-neural-networks topic, visit your repo's landing page and select "manage topics."