gnns
There are 112 repositories under gnns topic.
AspirinCode/papers-for-molecular-design-using-DL
List of Molecular and Material design using Generative AI and Deep Learning
junxia97/awesome-pretrain-on-molecules
[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models
chingyaoc/ggnn.pytorch
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)
yanx27/3DGNN_pytorch
3D Graph Neural Networks for RGBD Semantic Segmentation
basiralab/GNNs-in-Network-Neuroscience
A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.
FedML-AI/FedGraphNN
FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.
AspirinCode/awesome-AI4MolConformation-MD
List of molecules (small molecules, RNA, peptide, protein, enzymes, antibody, and PPIs) conformations and molecular dynamics (force fields) using generative artificial intelligence and deep learning
gongchenghua/Papers-Graphs-with-Heterophily
A Survey of Learning from Graphs with Heterophily
PonderLY/PC-GNN
(WWW 2021) Source code of PC-GNN
tech-srl/bottleneck
Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"
asarigun/awesome-denovo-papers
Awesome De novo drugs design papers
Graphlet-AI/graphml-class
Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques
xmh1011/AT-DGNN
[DEAP] Attention-Based Temporal Learner With Dynamical Graph Neural Network for EEG Emotion Recognition.
KuroginQin/OpenTLP
[ACM Computing Surveys'23] Implementations or refactor of some temporal link prediction/dynamic link prediction methods and summary of related open resources for survey paper "Temporal Link Prediction: A Unified Framework, Taxonomy, and Review" which has been accepted by ACM Computing Surveys.
shamim-hussain/egt
Edge-Augmented Graph Transformer
JockWang/Graph-in-Recommendation-Systems
GNNs in Recommendation Systems
nianticlabs/relpose-gnn
[3DV21] Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision, M. Türkoǧlu et al.
dmitrykazhdan/Representing-Programs-with-Graphs
Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"
ytchx1999/PyG-OGB-Tricks
Bags of Tricks in OGB (node classification) with GCNs.
AndMastro/protein-ligand-GNN
This repository contains the code for the work on protein-ligand interaction with GNNs and XAI
wengroup/matten
MatTen: Equivariant Graph Neural Nets for Tensorial Properties of Materials
caio-freitas/GraphARM
An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]
USC-InfoLab/NeuroGNN
NeuroGNN is a state-of-the-art framework for precise seizure detection and classification from EEG data. It employs dynamic Graph Neural Networks (GNNs) to capture intricate spatial, temporal, semantic, and taxonomic correlations between EEG electrode locations and brain regions, resulting in improved accuracy. Presented at PAKDD '24.
Graphlet-AI/graphlet
PyPi module for Graphlet AI Knowledge Graph Factory
SherylHYX/SSSNET_Signed_Clustering
Official code for the SDM2022 paper -- SSSNET: Semi-Supervised Signed Network Clustering.
cszhangzhen/MVPool
Hierarchical Multi-View Graph Pooling with Structure Learning (TKDE-2021)
asarigun/GraphMixerNetworks
Official Implementation of Graph Mixer Networks
Chen-Cai-OSU/GNN-Over-Smoothing
A Note On Over-Smoothing for Graph Neural Network
qbxlvnf11/HMLET
HMLET (Hybrid-Method-of-Linear-and-non-linEar-collaborative-filTering-method)
Samyu0304/Improving-Subgraph-Recognition-with-Variation-Graph-Information-Bottleneck-VGIB-
graph neural networks, information theory, AI for Sciences
Pabloo22/gnn_scheduler
Solving the Job-Shop Scheduling Problem (JSSP) with Graph Neural Networks (GNNs).
sisinflab/LoG-2023-GNNs-RecSys
Presented as tutorial at the Second Learning on Graphs Conference (LoG 2023)
jkminder/SALSA-CLRS
Implementation of "SALSA-CLRS: A Sparse and Scalable Benchmark for Algorithmic Reasoning". SALSA-CLRS is an extension to the original clrs package, prioritizing scalability and the utilization of sparse representations. It provides pytorch based PyG datasets and dataloaders.
yihong-chen/ReFactorGNN
Implementation for ReFactor GNNs
adrianSRoman/DeepWaveTorch
DeepWave: A Recurrent Neural-Network for Real-Time Acoustic Imaging (PyTorch implementation)
basiralab/AGSR-Net
Brain graph super-resolution using graph neural networks.