gnn-model
There are 62 repositories under gnn-model topic.
THUDM/CogDL
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)
chengsen/PyTorch_TextGCN
The PyTorch 1.6 and Python 3.7 implementation for the paper Graph Convolutional Networks for Text Classification
Mouradost/STGM
STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting
microsoft/YOLaT-VectorGraphicsRecognition
Source Code of NeurIPS21 and T-PAMI24 paper: Recognizing Vector Graphics without Rasterization
langgege-cqu/maxp_dgl
2021MXAP-DGL rank2
gnn-tracking/gnn_tracking
Reconstruct billions of particle trajectories with graph neural networks
zouguojian/Traffic-speed-prediction
Using to predict the highway traffic speed
BAMeScience/fiora
Fiora is an in silico fragmentation algorithm for small compounds that produces simulated tandem mass spectra (MS/MS). The framework employs a graph neural network to predict bond cleavages and fragment ion intensities via edge prediction. Additionally, Fiora can estimate retention times (RT) and collision cross sections (CCS) of the compounds.
Junyoungpark/CGS
The official implementation of Convergent Graph Solvers (CGS)
H4Y3J1N/Graph-Travel
with GUG, Let's explore the Graph Neural Network!
vedarthv/GNN_EEG
A project emulating a GNN model which uses EEG data to identify depression in individuals.
YeonwooSung/PyTorch_GNN_Implementation
PyTorch implementation of GNN models
zhichunguo/GraSeq
GraSeq: Graph and Sequence Fusion Learning for Molecular Property Prediction. In CIKM 2020.
Starlien95/Count-GNN
Learning to Count Isomorphisms with Graph Neural Networks
HamzaGbada/GCN-Numpy
An implementation from scratch of Graph Convolutional Networks (GCN) using Numpy
ClaudMor/gravity_gae_torch_geometric
Pytorch Geometric implementation of the "Gravity-Inspired Graph Autoencoders for Directed Link Prediction" paper.
oceanlvr/ProtoAU
Pytorch implementation of ProtoAU for recomandation.
RUCAIBox/Social-Datasets
A collection of social datasets for RecBole-GNN.
zixi-liu/Graphical-Neural-Network
CS224W: Graph Embedding, GNNs, Recommendation Systems, and applications.
Alex-Mathai-98/Monolith-to-Microservices
This paper explores the idea of using heterogeneous graph neural networks (Het-GNN) to partition old legacy monoliths into candidate microservices. We additionally take membership constraints that come from a subject matter expert who has deep domain knowledge of the application.
MiladGhorbaniG/GNN-for-Recommendation-System
GNN for Video Recommendation System
Orbis36/Fraud_Detection_BasedOnGNN
An implementation of R-GCN model detection on IEEE-Fraud Detection Dataset,
dhh1995/MeGraph
Official code for [Neurips23] MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy
kubosis/NeRa
Seamless integration of sport rating systems into graph neural networks in the PyTorch environment
LinaDongXMU/FGNN
Ligand binding affinity prediction with fusion of graph neural networks and 3D structure-based complex graph
lipinski/graph-neural-network
The repository is a collection of Jupyter notebooks showcasing various projects related to graph neural networks (GNNs). Each notebook provides a detailed explanation of the project and its implementation, making it easy for users to understand and replicate the results.
zpengmei/SubFormer-Spec
SubFormer-Spec: Implementation of the graph Spectral token with SubFormer architecture
deepak2233/GNN-Based-HIV-Molecules-Classification
HIV molecules classification using GNN with attention
HamzaGbada/direct-neighbor-vrd
This repository contains the official implementation of the paper titled "Information Extraction from Visually Rich Documents Using Directed Weighted Graph Neural Network", which was presented in the 18th International Conference on Document Analysis and Recognition (ICDAR 2024).
MING-ZCH/GNN-Recommendation
Some new papers about GNN with Rec in CVPR/ ICCV/AAAI/WWW(2022/2023)
Anjum48/icecube-neutrinos-in-deep-ice
8th place solution for the IceCube Neutrinos in Deep Ice competition
beingbat/fedgnn-implementation
Implementation of FedGNN (Federated GNN) using pyG library
jchddd/asgcnn
GNN with classification tasks for adsorbate types and adsorption sites to screen NRR catalysts from nonmagnetic Heusler alloys.
langkhachhoha/AMO-ACO-Model-GECCO2024
Alimentation Deep Multiple Optimal Ant Colony Optimization to solve Vehicle Routing Problem with Time Windows.
vratnasw/neural_reacting_systems
deep learning model for interacting systems