Explainable Multimodal Deep Learning for Huntington’s Disease Forecasting Using EfficientNet-B3 and Graph Neural Networks
-
Updated
Jun 17, 2026 - Python
#
graphneuralnetworks
Here are 15 public repositories matching this topic...
An implementation from scratch of major Graph Neural Network (GNN) architectures using Numpy
python graph numpy graph-neural-networks gnn graphneuralnetworks gnn-learning gnn-model pytorchgeometric
-
Updated
Mar 16, 2026 - Python
Welcome to the Role Transition Prediction Challenge ! This competition focuses on predicting how user roles evolve over time in the Super User Stack Exchange temporal network.
-
Updated
Jul 6, 2026 - Python
Drug Repurposing using Graph Neural Networks
drug-discovery drug-repurposing gcn graph-neural-networks graphneuralnetworks graphneuralnetwork drugrecommendation
-
Updated
Feb 5, 2026 - Python
AI-powered Urban Microclimate Digital Twin for hyper-local heatwave prediction, heat risk assessment, and spatial temperature forecasting using Random Forest, GCN, Streamlit, and Open-Meteo data.
python data-science machine-learning environmental-monitoring gcn geospatial-analysis graphneuralnetworks streamlit randomforests open-meteo climate-tech heatwave-prediction
-
Updated
Jun 3, 2026 - Python
Graph neural network classifies research papers based on citation network structure and features.
-
Updated
Dec 26, 2024 - Jupyter Notebook
Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials. Graph Neural Networks for Social Network Analysis leverages deep learning on graph data to study user relationships, predict behaviors, and extract meaningful insights from social networks.
ai deeplearning datamining networkscience socialnetworkanalysis gnn graphneuralnetworks computerscienceprojects communitydetection btechprojects finalyearprojects mtechprojects bcaprojects mcaprojects
-
Updated
Feb 21, 2026
A PyTorch implementation of Hierarchical Relational Networks for Group Activity Recognition, based on the ECCV 2018 paper by Ibrahim & Mori. This implementation extends the original work with modern training practices, ResNet50 backbone, and Graph Attention Networks.
pytorch lstm attention machinelearning resnet deeplearning computervision activityrecognition graphneuralnetworks torch-geometric
-
Updated
Feb 12, 2026 - Python
A Graph Neural Network (GNN) and Machine Learning-based recommender system designed to match startups with Venture Capital (VC) and Angel investors. This repository hosts data preprocessing workflows, model training frameworks (GraphSAGE, GATv2), inference pipelines, and a full-stack Django + React web application.
-
Updated
May 24, 2026 - Jupyter Notebook
Knowledge graph and GNN benchmark for programmable genome-writing enzymes, with ESM-2 embeddings, GraphSAGE/GAT link prediction, and an editor-selection API.
machine-learning bioinformatics computational-biology pytorch knowledge-graph crispr crispr-target crispr-cas9 artifical-intelligence gnn graphneuralnetworks crispr-design torchgeometric esm-2 recombinases transposase bridgerna genetic-en genome-en
-
Updated
Jul 5, 2026 - Python
Explainable Graph Neural Network based cryptocurrency fraud detection using GraphSAGE and PyTorch Geometric.
deep-learning blockchain cryptocurrency fraud-detection pytorch-geometric gnn graphneuralnetworks streamlit
-
Updated
Jun 10, 2026 - Python
My Bachelor's Thesis of Physics at TUM.
-
Updated
Jul 19, 2025 - TeX
Classical and graph neural network methods for clustering and classifying XRF spectra of orichalcum ingots, with a focus on improving robustness and cross-instrument comparability.
-
Updated
Mar 26, 2026 - Python
Jet classification using Autoencoder, GNN and Contrastive Learning for ML4SCI GSoC 2026
machine-learning deep-learning particle-physics graphneuralnetworks contrastive-learning ml4sci gsoc-2026
-
Updated
Apr 4, 2026 - Jupyter Notebook
Accelerated Thermal Breakthrough Prediction in Geothermal Reservoirs Using a Physics-Aware Graph Neural Network Surrogate
deep-learning lstm amg rollout attention-mechanism surrogate-modelling reservoir-simulation mrst geothermal geothermal-energy graphneuralnetworks algebraic-multigrid coarsening autoregressive-models geothermal-reservoirs latent-temoral
-
Updated
Jul 5, 2026 - Python
Improve this page
Add a description, image, and links to the graphneuralnetworks topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the graphneuralnetworks topic, visit your repo's landing page and select "manage topics."