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