lightaime/deep_gcns_torch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
This project provides advanced methods for training very deep Graph Convolutional Networks (GCNs). It takes structured data, such as point clouds or social networks, and processes it to classify objects, segment scenes, or predict properties within the graph. Researchers and practitioners working with complex relational data who need to analyze intricate patterns would use this.
1,187 stars. No commits in the last 6 months.
Use this if you are a machine learning researcher or data scientist developing deep learning models for graph-structured data and need to overcome the limitations of shallow GCNs.
Not ideal if you are looking for a plug-and-play solution for common machine learning tasks without needing to delve into graph neural network architecture design.
Stars
1,187
Forks
154
Language
Python
License
MIT
Category
Last pushed
Jul 31, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/lightaime/deep_gcns_torch"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
a-r-j/graphein
Protein Graph Library
raamana/graynet
Subject-wise networks from structural MRI, both vertex- and voxel-wise features (thickness, GM...
pykale/pykale
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for...
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.