GitHub topics: graph-convolutional-networks
benedekrozemberczki/awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
Language: Python - Size: 1.79 MB - Last synced at: about 3 hours ago - Pushed at: over 2 years ago - Stars: 4,797 - Forks: 735
joshivanhilario/Neura-AI
Discover ultra-fast, intelligent AI chat with our voice-enabled chatbot, powered by AI SDK, Groq AI, and Gemini AI. Ideal for customer support, virtual assistants, and interactive apps, offering seamless, real-time conversations. 🚀
Language: JavaScript - Size: 2.48 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 4 - Forks: 2
pyg-team/pytorch_geometric
Graph Neural Network Library for PyTorch
Language: Python - Size: 23.5 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 23,060 - Forks: 3,901
Tony-Y/cgnn
Crystal Graph Neural Networks
Language: Python - Size: 2.07 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 109 - Forks: 24
shivapreetham/eeg-channel-selection
End-to-end pipeline for automatic EEG channel selection in Motor Imagery BCI applications using EEG-ARNN (Graph Neural Networks + CNN).
Language: Jupyter Notebook - Size: 63.1 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
brixf21/Base-Learn
🛠️ Build and deploy smart contracts on Base blockchain with a Hardhat environment, modern React frontend, and comprehensive Solidity contract resources.
Language: JavaScript - Size: 1.73 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0
0ameyasr/DGvGAN
Implementation of deep graph convolutional neural network (GCN) models for behavioral malware detection, based on Oliveira & Sassi (2019). Includes comparitive analysis with a GAN trained for anomaly detection.
Language: Jupyter Notebook - Size: 25.3 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 2 - Forks: 0
DSE-MSU/DeepRobust
A pytorch adversarial library for attack and defense methods on images and graphs
Language: Python - Size: 11.9 MB - Last synced at: 11 days ago - Pushed at: 4 months ago - Stars: 1,063 - Forks: 192
yueliu1999/Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Language: Python - Size: 1.01 MB - Last synced at: 13 days ago - Pushed at: 6 months ago - Stars: 958 - Forks: 148
HennyJie/BrainGB
Officially Accepted to IEEE Transactions on Medical Imaging (TMI, IF: 11.037) - Special Issue on Geometric Deep Learning in Medical Imaging.
Language: MATLAB - Size: 820 KB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 205 - Forks: 43
pyg-team/pyg-lib
Low-Level Graph Neural Network Operators for PyG
Language: C++ - Size: 904 KB - Last synced at: 15 days ago - Pushed at: 16 days ago - Stars: 211 - Forks: 53
sggao/celllens
CellLENS: Cross-domain information fusion for enhanced cell population delineation in single-cell spatial-omics data
Language: Jupyter Notebook - Size: 229 MB - Last synced at: 5 days ago - Pushed at: 3 months ago - Stars: 31 - Forks: 7
mims-harvard/decagon
Graph convolutional neural network for multirelational link prediction
Language: Jupyter Notebook - Size: 605 KB - Last synced at: 22 days ago - Pushed at: almost 3 years ago - Stars: 465 - Forks: 150
dair-ai/GNNs-Recipe
🟠 A study guide to learn about Graph Neural Networks (GNNs)
Size: 55.7 KB - Last synced at: 20 days ago - Pushed at: almost 3 years ago - Stars: 1,246 - Forks: 128
mims-harvard/GNNGuard
Defending graph neural networks against adversarial attacks (NeurIPS 2020)
Language: Python - Size: 12 MB - Last synced at: 22 days ago - Pushed at: over 2 years ago - Stars: 72 - Forks: 14
jwwthu/GNN-Communication-Networks
This is the repository for the collection of Graph-based Deep Learning for Communication Networks.
Size: 649 KB - Last synced at: 24 days ago - Pushed at: about 1 month ago - Stars: 534 - Forks: 80
alibaba/euler
A distributed graph deep learning framework.
Language: C++ - Size: 2.49 MB - Last synced at: 28 days ago - Pushed at: about 2 years ago - Stars: 2,899 - Forks: 558
Membrizard/ml_conformer_generator
Shape-constrained molecule generation via Equivariant Diffusion and GCN
Language: Python - Size: 34.7 MB - Last synced at: 3 days ago - Pushed at: 2 months ago - Stars: 13 - Forks: 1
Tahernezhad/Neuroevolution-Graph-Neural-Network
A neuroevolutionary framework for structural optimization that trains Graph Neural Networks (GNNs) with a genetic algorithm.
Language: Python - Size: 4.89 MB - Last synced at: 24 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
Language: Jupyter Notebook - Size: 14.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4,974 - Forks: 784
pfnet-research/graph-nvp
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs
Language: Python - Size: 311 KB - Last synced at: 12 days ago - Pushed at: over 3 years ago - Stars: 97 - Forks: 18
gmum/geo-gcn
The official implementation of the SGCN architecture.
Language: Python - Size: 68.4 KB - Last synced at: 9 days ago - Pushed at: over 3 years ago - Stars: 63 - Forks: 18
OluwadareLab/HiC-GNN
A Generalizable Model for 3D Chromosome Reconstruction Using Graph Convolutional Neural Networks
Language: Python - Size: 112 KB - Last synced at: 29 days ago - Pushed at: about 4 years ago - Stars: 17 - Forks: 2
benedekrozemberczki/pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Language: Python - Size: 13.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2,870 - Forks: 400
uts58/scGCN
A framework to see if your scHi-C data and scRNA-seq data aligns
Language: Python - Size: 95.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
gonzrubio/ML_Papers
A collection of research paper implementations in PyTorch
Language: Python - Size: 763 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 6 - Forks: 2
stellargraph/stellargraph
StellarGraph - Machine Learning on Graphs
Language: Python - Size: 92.5 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 3,027 - Forks: 440
mims-harvard/graphml-tutorials
Tutorials for Machine Learning on Graphs
Language: Jupyter Notebook - Size: 56.4 MB - Last synced at: 22 days ago - Pushed at: over 4 years ago - Stars: 228 - Forks: 56
EdisonLeeeee/GreatX
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
Language: Python - Size: 8.14 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 87 - Forks: 13
typedb/typedb-ml 📦
TypeDB-ML is the Machine Learning integrations library for TypeDB
Language: Python - Size: 11 MB - Last synced at: 10 days ago - Pushed at: almost 2 years ago - Stars: 552 - Forks: 92
aavek/Satellite-Image-Road-Segmentation
Graph Reasoned Multi-Scale Road Segmentation in Remote Sensing Imagery
Language: Python - Size: 3.4 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 27 - Forks: 2
lightaime/deep_gcns_torch
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Language: Python - Size: 7.02 MB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 1,177 - Forks: 155
jElhamm/Hands-On-Graph-Neural-Networks-Using-Python
"This repository contains the implementation code for the book, which serves as a practical guide to understanding and applying Graph Neural Networks (GNNs) using Python."
Language: Jupyter Notebook - Size: 3.08 MB - Last synced at: 26 days ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 1
flatironinstitute/DeepFRI
Deep functional residue identification
Language: Python - Size: 388 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 330 - Forks: 84
TrafficGCN/haversine_mapping_for_spatial_integration_in_graph_convolutional_networks
Calculating the nearest weather sensor for each traffic sensor and then merging the weather sensors' temporal data with the traffic sensors'.
Language: Python - Size: 119 MB - Last synced at: 23 days ago - Pushed at: almost 2 years ago - Stars: 6 - Forks: 1
ArhamWasti/Plasmodium-Falciparum-Inhibitor-Detection
Utilizing 3D GCN machine learning models to expedite and improve malaria drug discovery through efficient inhibitor detection
Language: Jupyter Notebook - Size: 89.1 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
TrafficGCN/osmnx_adjacency_matrix_for_graph_convolutional_networks
Creating an Adjacency Matrix Using the Dijkstra Algorithm for Graph Convolutional Networks GCNs
Language: Jupyter Notebook - Size: 46.9 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 25 - Forks: 2
Chung-Research-Group/PACMAN-charge
A fast and accurate model to estimate DFT quality partial atomic charges of periodic materials
Language: Python - Size: 365 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 22 - Forks: 2
AnoushkaVyas/GraphZoo
Facilitating learning, using, and designing graph processing pipelines/models systematically.
Language: Jupyter Notebook - Size: 15.7 MB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 26 - Forks: 7
kyzhouhzau/NLPGNN
1. Use BERT, ALBERT and GPT2 as tensorflow2.0's layer. 2. Implement GCN, GAN, GIN and GraphSAGE based on message passing.
Language: Python - Size: 205 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 335 - Forks: 66
malllabiisc/CompGCN
ICLR 2020: Composition-Based Multi-Relational Graph Convolutional Networks
Language: Python - Size: 4.35 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 621 - Forks: 109
kenqgu/Text-GCN
A PyTorch implementation of "Graph Convolutional Networks for Text Classification." (AAAI 2019)
Language: Python - Size: 24.9 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 129 - Forks: 25
msck2002/Grapher
Powerful open-source tool for graph visualization, data analysis, and real-time plotting. Simplify complex workflows with Grapher! 🌐📊
Size: 2.93 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
ch3njust1n/gcn
Semi-Supervised Classification with Graph Convolutional Networks
Language: Jupyter Notebook - Size: 36.7 MB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
zhiyongc/Graph_Convolutional_LSTM
Traffic Graph Convolutional Recurrent Neural Network
Language: Jupyter Notebook - Size: 8.69 MB - Last synced at: 3 months ago - Pushed at: almost 6 years ago - Stars: 406 - Forks: 121
xptree/DeepInf
DeepInf: Social Influence Prediction with Deep Learning
Language: Python - Size: 84.1 MB - Last synced at: 2 months ago - Pushed at: over 5 years ago - Stars: 295 - Forks: 86
Zehong-Wang/GPM
Beyond Message Passing: Neural Graph Pattern Machine, ICML 2025
Language: Python - Size: 2.13 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 4 - Forks: 1
mamintoosi/TGCN-GSL-PyTorch
Graph Structure Learning for Traffic Prediction
Language: Jupyter Notebook - Size: 4.71 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
eyess-glitch/gnn-interface
An interface which can be used to train GNN models through a json file.
Language: Python - Size: 274 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
CallmeQuant/shortest-path-gnn
This repository contains an implementation of several Graph Neural Network (GNN)-based models for solving shortest path prediction problems.
Language: Jupyter Notebook - Size: 4.33 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0
BUAA-CI-LAB/Literatures-on-GNN-Acceleration
A reading list for deep graph learning acceleration.
Size: 235 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 247 - Forks: 22
fork123aniket/End-to-End-Node-and-Graph-Classification-and-Explanation-App
Streamlit App for Node and Graph Classification and Explainability
Language: HTML - Size: 3.24 MB - Last synced at: 5 months ago - Pushed at: 9 months ago - Stars: 3 - Forks: 0
qianlim/CAPE
Official implementation of CVPR2020 paper "Learning to Dress 3D People in Generative Clothing" https://arxiv.org/abs/1907.13615
Language: Python - Size: 8.93 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 323 - Forks: 40
safe-graph/graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
Size: 316 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1,571 - Forks: 269
chanwoo0806/ChebyCF
[SIGIR'2025] Graph Spectral Filtering with Chebyshev Interpolation for Recommendation
Language: Python - Size: 18 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0
senadkurtisi/pytorch-GCN
PyTorch implementation of the Graph Convolutional Network by Kipf et al.
Language: Python - Size: 1.71 MB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 27 - Forks: 1
mlabonne/graph-neural-network-course
Free hands-on course about Graph Neural Networks using PyTorch Geometric.
Language: Jupyter Notebook - Size: 5.84 MB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 366 - Forks: 72
dsgiitr/graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 1,195 - Forks: 228
MehrdadJalali-AI/MOFGalaxyNet
MOFGalaxyNet aims to create a social network for Metal-Organic Frameworks (MOFs) and predict their properties using Graph Convolutional Networks (GCN). It fosters collaboration and exploration in the field of MOFs through social network analysis and machine learning.
Language: Python - Size: 23.5 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 8 - Forks: 1
chainer/chainer-chemistry
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Language: Python - Size: 2.28 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 668 - Forks: 131
benedekrozemberczki/ClusterGCN
A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).
Language: Python - Size: 14.2 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 799 - Forks: 136
messierandromeda/Bachelor-Thesis
This repository contains the graph neural networks built with PyTorch Geometric that are used in my bachelor thesis: "Drug-Drug GNN for Drug Combination Prediction and Explanations".
Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
safe-graph/DGFraud
A Deep Graph-based Toolbox for Fraud Detection
Language: Python - Size: 80.4 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 731 - Forks: 163
yao8839836/text_gcn
Graph Convolutional Networks for Text Classification. AAAI 2019
Language: Python - Size: 841 MB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 1,377 - Forks: 437
GiorgosChr/Time-Series-Forecasting
A time-series forecasting project with machine learning utilising the Kaggle datasets
Size: 789 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
HuQiaCHN/HIS-GCN
The source code of Hierarchical graph samplingbased minibatch learning with chain preservation and variance reduction
Language: Python - Size: 8.13 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
kenqgu/BiLevel-Graph-Neural-Network
Bi-Level Graph Neural Networks for Drug-Drug Interaction Prediction. ICML 2020 Graph Representation Learning and Beyond (GRL+) Workshop
Language: Python - Size: 9.33 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 30 - Forks: 6
PetarV-/DGI
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
Language: Python - Size: 136 KB - Last synced at: 5 months ago - Pushed at: about 3 years ago - Stars: 641 - Forks: 137
lgalke/lifelong-learning
Lifelong Learning of Graph Neural Networks for Open-World Node Classification
Language: Python - Size: 142 KB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 30 - Forks: 4
Shakthirekak11/DeepFake-Detection-using-Graph-Convolutional-Networks
🤖 Deepfake detection using Graph Convolutional Networks (GCNs) to analyze facial landmark graphs. Combines computer vision, graph-based learning, and facial geometry for robust media forensics.
Language: Python - Size: 1.68 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
gnthibault/Optimisation-Python
A set of notebooks related to convex optimization, variational inference and numerical methods for signal processing, machine learning, deep learning, graph analysis, bayesian programming, statistics or astronomy.
Language: Jupyter Notebook - Size: 614 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 28 - Forks: 11
tsinghua-fib-lab/GNN-Recommender-Systems
An index of recommendation algorithms that are based on Graph Neural Networks. (TORS)
Size: 186 KB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 1,030 - Forks: 140
timothewt/AdvancedGraphClustering
Advanced Graph Clustering method documentation and implementation (From Spectral Clustering to Deep Graph Clustering)
Language: Jupyter Notebook - Size: 37.2 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 3
yueliu1999/DCRN
[AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.
Language: Python - Size: 10.3 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 196 - Forks: 28
chaitjo/efficient-gnns
Code and resources on scalable and efficient Graph Neural Networks (TNNLS 2023)
Language: Python - Size: 2.32 MB - Last synced at: 5 months ago - Pushed at: over 2 years ago - Stars: 533 - Forks: 64
Zhongdao/gcn_clustering
Code for CVPR'19 paper Linkage-based Face Clustering via GCN
Language: Jupyter Notebook - Size: 581 MB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 364 - Forks: 86
DeepLearnPhysics/dynamic-gcnn
Dynamic Graph Convolutional Neural Network for 3D point cloud semantic segmentation
Language: Python - Size: 114 KB - Last synced at: 5 months ago - Pushed at: almost 7 years ago - Stars: 65 - Forks: 11
kevalmorabia97/CoVA-Web-Object-Detection
A Context-aware Visual Attention-based training pipeline for Object Detection from a Webpage screenshot!
Language: Python - Size: 1.4 MB - Last synced at: 6 months ago - Pushed at: 8 months ago - Stars: 93 - Forks: 14
aptx1231/Traffic-Prediction-Open-Code-Summary
Summary of open source code for deep learning models in the field of traffic prediction
Size: 243 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 260 - Forks: 58
dobraczka/GNNTutorial
A small tutorial notebook on Graph Neural Networks, especially Graph Convolutional Networks
Language: Jupyter Notebook - Size: 20.6 MB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 17 - Forks: 5
MengjieChan/GCN_for_Node_Classification_Task
An implementation of the Graph Convolution Networks for the Cora, Citeseer, PubMed dataset.
Language: Jupyter Notebook - Size: 11.4 MB - Last synced at: 20 days ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0
yao8839836/fast_text_gcn
FastGCN for inductive text classification
Language: Python - Size: 3.73 MB - Last synced at: 6 months ago - Pushed at: over 6 years ago - Stars: 85 - Forks: 23
Mariewelt/OpenChem
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Language: Python - Size: 162 MB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 703 - Forks: 116
bknyaz/graph_nn
Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)
Language: Jupyter Notebook - Size: 187 MB - Last synced at: 6 months ago - Pushed at: about 5 years ago - Stars: 333 - Forks: 71
shahram-boshra/qm9_tpsa
TPSA-augmented QM9 GNN
Language: Python - Size: 20.5 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
shahram-boshra/g_reg_qm9
Molecular Graphs QM9 Graph-level Regression GNN
Language: Python - Size: 20.5 KB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
wangluchen567/GCN
图卷积神经网络模型(Graph Convolutional Network)
Language: Python - Size: 10.6 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
VITA-Group/L2-GCN
[CVPR 2020] L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks
Language: Python - Size: 4.85 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 31 - Forks: 13
LeviBorodenko/garnn
TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019.
Language: Python - Size: 99.6 KB - Last synced at: 2 months ago - Pushed at: almost 6 years ago - Stars: 27 - Forks: 1
ahu-bioinf-lab/AMGDTI
A Network Integration Approach for Drug-Target Interaction Prediction
Language: Python - Size: 51.3 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 13 - Forks: 2
bdy9527/SDCN
Structural Deep Clustering Network
Language: Python - Size: 88.3 MB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 274 - Forks: 72
mahshid1378/mmskeleton
A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.
Language: Python - Size: 54 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0
ianycxu/GCN-with-BERT
Graph Convolutional Networks (GCN) with BERT for Coreference Resolution Task [Pytorch][DGL]
Language: Jupyter Notebook - Size: 959 KB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 141 - Forks: 27
LamineTourelab/MOGONET
MOGONET (Multi-Omics Graph cOnvolutional NETworks) is multi-omics data integrative analysis framework for classification tasks in biomedical applications.
Language: Jupyter Notebook - Size: 56.6 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 14 - Forks: 1
carlosmatherson/PolymerGCN
My project for the Science Undergraduate Laboratory Internship program at Argonne National Laboratory
Language: Jupyter Notebook - Size: 2.33 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 2
Cartus/AGGCN
Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)
Language: Python - Size: 194 MB - Last synced at: 7 months ago - Pushed at: over 3 years ago - Stars: 435 - Forks: 88
twitter-research/graph-neural-pde
Graph Neural PDEs
Language: Jupyter Notebook - Size: 18.3 MB - Last synced at: 7 months ago - Pushed at: about 3 years ago - Stars: 328 - Forks: 56
pegerto/graphpro
GraphPro is a versatile and pluggable OO python library designed for leveraging deep graph learning representations to gain insights into structural proteins and their conformations
Language: Python - Size: 2.27 MB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0
pfnet-research/step-wise-chemical-synthesis-prediction
A GGNN-GWM based step-wise framework for Chemical Synthesis Prediction
Language: Python - Size: 399 KB - Last synced at: 7 months ago - Pushed at: about 6 years ago - Stars: 20 - Forks: 6
benedekrozemberczki/SEAL-CI
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Language: Python - Size: 5.08 MB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 211 - Forks: 43