GitHub topics: pytorch-geometric
mashaan14/YouTube-channel
Code I used for my YouTube videos
Language: Jupyter Notebook - Size: 1.4 GB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 6 - Forks: 3

a-r-j/graphein
Protein Graph Library
Language: Jupyter Notebook - Size: 86.8 MB - Last synced at: 2 days ago - Pushed at: 3 months ago - Stars: 1,103 - Forks: 137

chaitjo/geometric-rna-design
gRNAde: Geometric Deep Learning for 3D RNA inverse design (ICLR 2025 Spotlight)
Language: Jupyter Notebook - Size: 305 MB - Last synced at: about 13 hours ago - Pushed at: 3 months ago - Stars: 203 - Forks: 20

13199Mosesatenya/Flow-a-gorithm
Flow-a-gorithm is a project designed to detect anomalies in network traffic using graph-based techniques. It processes data to identify potential security threats, offering a clear solution for network monitoring. 🛡️💻
Language: Python - Size: 37.1 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

zenwor/reddit_gcnn
🕸️ GNN-based Reddit Discussion Classifier
Language: Python - Size: 7.9 MB - Last synced at: 1 day ago - Pushed at: 9 months ago - Stars: 10 - Forks: 0

shahram-boshra/qm7_database_process
QM7 Dataset Processing and Curation
Language: Python - Size: 42 KB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

c2g-dev/city2graph
Transform geospatial relations into graph representations designed for spatial analysis and Graph Neural Networks (GNNs).
Language: Python - Size: 148 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 6 - Forks: 0

Zehong-Wang/G2PM
Scalable Graph Generative Modeling via Substructure Sequences
Language: Python - Size: 2.7 MB - Last synced at: 2 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

spk-22/Flow-a-gorithm
Flow-a-gorithm is an algorithm-centric framework for detecting anomalies in network traffic through graph-based modeling and subgraph analysis. This project combines subgraph isomorphism, incremental detection algorithms, and a Graph Convolutional Network (GCN) to identify suspicious patterns in dynamic network flow data.
Language: Python - Size: 51.8 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

Zehong-Wang/GPM
Beyond Message Passing: Neural Graph Pattern Machine, ICML 2025
Language: Python - Size: 2.12 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 2 - Forks: 0

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: 11 days ago - Pushed at: almost 2 years ago - Stars: 366 - Forks: 72

THUMNLab/AutoGL
An autoML framework & toolkit for machine learning on graphs.
Language: Python - Size: 1.88 MB - Last synced at: 8 days ago - Pushed at: 10 months ago - Stars: 1,109 - Forks: 121

B-Deprez/AML_Network
The source code of the experimental evaluation of Deprez et al. (nd)
Language: Python - Size: 548 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 11 - Forks: 2

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: 1 day ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

drprojects/DeepViewAgg
[CVPR'22 Best Paper Finalist] Official PyTorch implementation of the method presented in "Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation"
Language: Python - Size: 302 MB - Last synced at: 11 days ago - Pushed at: 10 months ago - Stars: 230 - Forks: 25

martinjurkovic/syntherela
A package for benchmarking synthetic relational data generation methods
Language: Python - Size: 1.25 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 45 - Forks: 1

SherylHYX/pytorch_geometric_signed_directed
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
Language: Python - Size: 101 MB - Last synced at: 13 days ago - Pushed at: 4 months ago - Stars: 140 - Forks: 18

chaitjo/geometric-gnn-dojo
Geometric GNN Dojo provides unified implementations and experiments to explore the design space of Geometric Graph Neural Networks (ICML 2023)
Language: Jupyter Notebook - Size: 4.6 MB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 499 - Forks: 46

MuMiN-dataset/mumin-build
Seamlessly build the MuMiN dataset.
Language: Python - Size: 2.3 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 30 - Forks: 0

PerforatedAI/PerforatedAI-Examples
Examples Repository for PyTorch Extension - Perforated Backpropagation by Perforated AI
Language: Python - Size: 72.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 3 - Forks: 3

divelab/GOOD
GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]
Language: Python - Size: 16.9 MB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 196 - Forks: 19

gdmnl/Spectral-GNN-Benchmark
A PyG-based package of spectral GNNs with benchmark evaluations.
Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 14 - Forks: 3

benedekrozemberczki/SGCN
A PyTorch implementation of "Signed Graph Convolutional Network" (ICDM 2018).
Language: Python - Size: 13 MB - Last synced at: 11 days ago - Pushed at: about 2 years ago - Stars: 275 - Forks: 57

karannb/cs224w
My attempt at homework problems and programming assignments for Stanford's cs224w,Machine Learning with Graphs (2021) course.
Language: Jupyter Notebook - Size: 189 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 26 - Forks: 4

shahram-boshra/mlip_nequip_md17
MLIP NequIP on the MD17 Dataset
Language: Python - Size: 24.4 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Javen-W/CSE881-GNN-Project
CSE881 Data Mining Graph Neural Network (GNN) Project - MSU Spring 2024 Graduate Course.
Language: Python - Size: 5.85 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

shahram-boshra/qm9_tpsa
TPSA-augmented QM9 GNN
Language: Python - Size: 20.5 KB - Last synced at: about 2 months ago - Pushed at: about 2 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: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

mukhlishga/gnn-powerflow
Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology
Language: Jupyter Notebook - Size: 63.2 MB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 85 - Forks: 18

yuyangw/MolCLR
Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.
Language: Python - Size: 13.5 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 274 - Forks: 64

JuliusPinsker/Molecular-GNN-Explorer
This project leverages a reproducible devcontainer environment, making it easy to set up and run on any machine with Docker and Visual Studio Code (or another compatible editor). By comparing three state-of-the-art GNN architectures (GCN, GAT, and GIN), the project provides insights into their relative performance in a regression task.
Language: Python - Size: 566 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

shahram-boshra/e_class
(Molecular Graphs Edge-level Classification GNN
Language: Python - Size: 31.3 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

shahram-boshra/n_class
Molecular Graphs Node-level Classification GNN
Language: Python - Size: 27.3 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

odinhg/Graph-Neural-Networks-INF367A
Traffic prediction with graph neural network using PyTorch Geometric. The implementation uses the MetaLayer class to build the GNN which allows for separate edge, node and global models.
Language: Python - Size: 165 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 25 - Forks: 8

p-haddadian/MAGPool
Multi-hop Attention-based Graph Pooling: A Personalized PageRank Perspective
Language: Python - Size: 10.7 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

leo27945875/Python_Stable_3D_Truss_Analysis
slientruss3d : Python for stable truss analysis and optimization tool
Language: Python - Size: 5.44 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 27 - Forks: 8

BorgwardtLab/TOGL
Topological Graph Neural Networks (ICLR 2022)
Language: Python - Size: 1.61 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 122 - Forks: 22

evandieren/GNN_Explainability
GNN Explainability in a regression setting - semester project for Applied Mathematics MSc @ EPFL
Language: Python - Size: 30.6 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

IntelLabs/GraVi-T
Graph learning framework for long-term video understanding
Language: Python - Size: 529 KB - Last synced at: 28 days ago - Pushed at: 4 months ago - Stars: 60 - Forks: 9

zhingoll/Issue-Assigner
A plugin for automatic assignment of issues in the repository
Language: Python - Size: 63.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 2

timkartar/DeepPBS
Geometric deep learning of protein–DNA binding specificity
Language: Python - Size: 245 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 64 - Forks: 6

FilippoMB/Tutorial_GNN_explainability
This in an introduction to PyTorch Geometric, the deep learning library for Graph Neural Networks, and to interpretability tools for analyzing the decision process of a GNN.
Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0

venomouscyanide/ScaLed
ScaLed: Improving SEAL by random walks
Language: Python - Size: 19.2 MB - Last synced at: 13 days ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 4

martinnormark/neural-mesh-simplification
Un-official and WIP Implementation of the Neural Mesh Simplification paper
Language: Python - Size: 166 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 26 - Forks: 1

fork123aniket/Molecule-Graph-Generation
Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch
Language: Python - Size: 715 KB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 23 - Forks: 5

qitianwu/DIFFormer
The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"
Language: Python - Size: 125 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 295 - Forks: 32

giuseppericcio/MediCARE
📄 Preprint submitted to Artificial Intelligence in Medicine 🏥 - "MediCARE: Medical Collaborative Agents REasoning over Interpretable Heterogeneous Graphs" 💊📊 - University of Naples "Federico II" 🎓
Language: Jupyter Notebook - Size: 25 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 1

TsungTseTu122/PatternRecognition-GNN-node-classification
This project implements a Mixed Graph Neural Network (GNN) for semi-supervised multi-class node classification using the Facebook Large Page-Page Network Dataset. The goal of the project is to predict the class of each node (page) based on 128-dimensional feature vectors and the graph structure connecting the nodes.
Language: Python - Size: 6.41 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

divelab/LECI
The implementation of "Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization" (NeurIPS 2023)
Language: Python - Size: 166 KB - Last synced at: 8 days ago - Pushed at: 7 months ago - Stars: 19 - Forks: 3

cjunwon/Reddit-Social-Network-Analysis
Developing efficient classification for Reddit posts/comments/communities with Graph Neural Networks (GNNs)
Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: 2 months ago - Pushed at: 10 months ago - Stars: 2 - Forks: 0

DimAthanasakos/Graph-AutoEncoder-for-Model-Agnostic-Anomaly-Detection
Graph AutoEncoder for Model Agnostic Anomaly Detection
Language: Python - Size: 286 KB - Last synced at: 17 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

ecrl/graphchem
Graph-based machine learning for chemical property prediction
Language: Python - Size: 2.7 MB - Last synced at: 24 days ago - Pushed at: 4 months ago - Stars: 32 - Forks: 7

rusty1s/pyg_autoscale
Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch
Language: Python - Size: 211 KB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 164 - Forks: 27

scale-lab/MILPTune
Automatic MILP solver configuration by learning problem similarities
Language: Python - Size: 137 KB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 5 - Forks: 0

rubenwiersma/hsn
Code for SIGGRAPH paper CNNs on Surfaces using Rotation-Equivariant Features
Language: Python - Size: 1.02 MB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 88 - Forks: 16

benedekrozemberczki/spatiotemporal_datasets
Spatiotemporal datasets collected for network science, deep learning and general machine learning research.
Size: 72.3 KB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 60 - Forks: 6

0M1J/kubeflow-GNN
GNN training in kubeflow.
Language: Python - Size: 702 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 4

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: about 2 months ago - Pushed at: 4 months ago - Stars: 3 - Forks: 0

RickyMiura/GNN-Analysis
Analyzing the strengths and limitations of different Graph Neural Network architectures using PyTorch.
Language: Python - Size: 519 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

RickyMiura/Traffic-Speed-Forecasting
Forecasting traffic speed using sensor data from San Diego highways and a Spatial-Temporal Graph Attention Network.
Language: Python - Size: 121 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 1

zahta/graph_ml
Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics that are covered in the course include graph representation learning and graph neural networks, algorithms for the world wide web, reasoning over knowledge graphs, and social network analysis.
Language: Jupyter Notebook - Size: 8.67 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 18 - Forks: 7

fork123aniket/Relational-Graph-Attention-from-Scratch
Implementation of Relational Graph Attention operator for heterogeneous graphs in PyTorch
Language: Python - Size: 16.6 KB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

mohammadT77/NYSE-Temporal-Graph
New York Stock Exchange Temporal Graph Construction and Node Regression for Price Prediction
Language: Jupyter Notebook - Size: 955 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

fork123aniket/Graph-based-3D-Point-Cloud-Classification
Implementation of Graph Neural Network-based 3D Point Cloud Classification in PyTorch
Language: Python - Size: 729 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 3

Anindyadeep/YogaPoseGNN
When real time Yoga Position classification meets GNN
Language: Python - Size: 38 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 2

azminewasi/CADGL
Data and code of CADGL: Context-Aware Deep Graph Learning for Predicting Drug-Drug Interactions
Language: Python - Size: 6.46 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

LukasDrews97/twitter_bot_detection
Twitter bot detection using graph neural networks.
Language: Python - Size: 148 KB - Last synced at: 1 day ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

sisaman/ProGAP
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees (WSDM 2024)
Language: Jupyter Notebook - Size: 7.38 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 6 - Forks: 2

branchialspace/foldbender
protein graph representation
Language: Python - Size: 190 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 5 - Forks: 1

EdisonLeeeee/Mooon
Graph Data Augmentation Library for PyTorch Geometric
Language: Python - Size: 284 KB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 7 - Forks: 1

EdisonLeeeee/GreatX
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
Language: Python - Size: 8.14 MB - Last synced at: 11 days ago - Pushed at: 8 months ago - Stars: 85 - Forks: 13

trivnguyen/JeansGNN
Neural Simulation-based Inference with GNN for Jeans Modeling
Language: Jupyter Notebook - Size: 15.5 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 2

fork123aniket/Graph-Neural-Network-based-Visual-Question-Answering
Implementation of GNNs for Visual Question Answering task in PyTorch
Language: Python - Size: 865 KB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 2

fork123aniket/Model-agnostic-Graph-Explainability-from-Scratch
Implementation of Model-Agnostic Graph Explainability Technique from Scratch in PyTorch
Language: Python - Size: 3.08 MB - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

yfiua/tutorial-node-classification
Tutorial on node classification in networks
Language: Jupyter Notebook - Size: 202 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

favour-nerrise/xGW-GAT
An Explainable Geometric-Weighted Graph Attention Network (xGW-GAT) for Identifying Functional Networks Associated with Gait Impairment
Language: Python - Size: 70.3 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 13 - Forks: 2

nngabe/inductive_io
Repo for paper "Inductive detection of Influence Operations via Graph Learning"
Language: Python - Size: 129 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

Yazangthb/Graph_recomender
Movie recommendations with GraphML
Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

lukecavabarrett/pna
Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
Language: Python - Size: 704 KB - Last synced at: 6 months ago - Pushed at: almost 3 years ago - Stars: 341 - Forks: 55

Ryan-PG/citation-network-gnn
A project using Graph Neural Networks (GNNs) to classify nodes in the Cora citation network. Implements GCN and GraphSAGE models using PyTorch Geometric to classify academic papers based on citation relationships. Includes preprocessing, model training, evaluation, and visualizations.
Language: Python - Size: 628 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

monk1337/Graph-Neural-networks-for-NLP
Graph Neural networks for NLP
Size: 618 KB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 26 - Forks: 5

SRA2/SPELL
Learning Long-Term Spatial-Temporal Graphs for Active Speaker Detection (ECCV 2022)
Language: Python - Size: 24.4 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 65 - Forks: 9

HannesStark/3DInfomax
Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
Language: Python - Size: 155 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 155 - Forks: 31

yuyangw/Denoise-Pretrain-ML-Potential
Implementation of "Denoise Pretraining on Non-equilibrium Molecular Conformations for Accurate and Transferable Neural Potentials" in PyTorch.
Language: Python - Size: 31.8 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 13 - Forks: 3

njmarko/graph-transformer-psiml
Transformer implemented with graph attention network (GAT) layers from PyTorch Geometric
Language: Jupyter Notebook - Size: 41 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 17 - Forks: 2

yuyangw/iMolCLR
Implementation of iMolCLR: "Improving Molecular Contrastive Learning via Faulty Negative Mitigation and Decomposed Fragment Contrast" in PyG.
Language: Python - Size: 8.59 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 17 - Forks: 2

arangoml/fastgraphml
Given an input graph (ArangoDB or PyG) it generates graph embeddings using Low-Code framework built on top of PyG.
Language: Python - Size: 479 KB - Last synced at: 22 days ago - Pushed at: 12 months ago - Stars: 68 - Forks: 8

MohammadYasinKarbasian/Community-Detection-On-OGBN-Arxiv
This repository contains the code and results of my Machine Learning on Graphs course project, where I applied various community detection methods to the OGBN-ArXiv dataset.
Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

AnitaSoroush/CircuitPartitioning-GNN
This is my MSc thesis project published in the University of Guelph library. This project applies Graph Neural Networks, to an optimization problem, Circuit Partitioning, leveraging, the predictive power of deep learning instead of traditional techniques.
Language: Python - Size: 293 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

sisaman/LPGNN
Locally Private Graph Neural Networks (ACM CCS 2021)
Language: Jupyter Notebook - Size: 7.31 MB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 45 - Forks: 16

Linnore/GNN-Playground
Implement, test, and organize recent reseach of GNN-based methods. Enable lifecycle controlled with MLflow.
Language: Python - Size: 330 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 1

shreya2031/gnn-explainainability
Language: Python - Size: 18.8 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Parisa-Foroutan/Timeseries-forecasting-STGNN
Python code for Deep learning-based spatial-temporal graph neural networks for price movement classification in crude oil and precious metal markets
Language: Python - Size: 14.6 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

fork123aniket/Graph-Clustering-using-Graph-Neural-Networks-from-scratch
Implementation of Graph pooling and clustering operation using Graph Neural Networks in PyTorch
Language: Python - Size: 13.7 KB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 0

devnithw/hiv-gnn
A Graph Neural Network to classify human HIV inhibitor molecules using DeepChem feature extractor
Language: Python - Size: 1.07 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

VictorZXY/GraphAC Fork of HannesStark/3DInfomax
GraphAC (Graph Adversarial Collaboration) – a novel, principled, task-agnostic, and stable framework for evaluating GNNs through contrastive self-supervision, without the need of handcrafted augmentations
Language: Python - Size: 156 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

Anindyadeep/MultiHeadVGAEs
Official Repository for different models based on MultiHead VGAEs.
Language: Python - Size: 11.4 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 1

theislab/geome
Language: Python - Size: 20.2 MB - Last synced at: 20 days ago - Pushed at: 11 months ago - Stars: 16 - Forks: 4

manuel-dileo/dynamic-gnn
Pytorch implementation of a dynamic gnn based on Roland framework
Language: Jupyter Notebook - Size: 37.3 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 6 - Forks: 0

devanshamin/litgnn
Graph Neural Networks (GNN) Experimentation Playground
Language: Python - Size: 701 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
