#

gnns

Here are 106 public repositories matching this topic...

AspirinCode / papers-for-molecular-design-using-DL

List of Molecular and Material design using Generative AI and Deep Learning

reinforcement-learning material-design transformer lstm gan rnn vae drug-design diffusion molecular-design energy-based-model gnns deep-generative-models score-based-generative-models prompt-learning generative-ai

Updated Oct 30, 2024

junxia97 / awesome-pretrain-on-molecules

[IJCAI 2023 survey track]A curated list of resources for chemical pre-trained models

awesome molecule survey computational-chemistry drug-discovery transfer-learning gnns finetuning self-supervised-learning graph-representation-learning molecular-representation-learning drug-discovery-and-development chemical-language-models

Updated Jun 17, 2023

chingyaoc / ggnn.pytorch

A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)

graph pytorch gnns ggnn

Updated Jul 31, 2019
Python

yanx27 / 3DGNN_pytorch

3D Graph Neural Networks for RGBD Semantic Segmentation

point-cloud pytorch segmentation rgbd gnns

Updated Mar 16, 2019
Python

basiralab / GNNs-in-Network-Neuroscience

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

biomarker gans brain-connectivity geometric-deep-learning gnns network-neuroscience gnn graph-neural-network graph-fusion graph-synthesis graph-prediction brain-disorders graph-superresolution predictive-intelligence graph-integration graph-timeseries brain-gnn

Updated Feb 27, 2023

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.

machine-learning deep-learning tensorflow pytorch gnns federated-learning distributed-learning graph-neural-networks federated-learning-framework fedml

Updated Dec 19, 2023

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

flow molecular-dynamics openmm transformer gan vae gromacs amber ppi active-learning lstm-neural-networks force-fields gnns enzymes llm neural-network-potentials proteinconformations

Updated Oct 30, 2024

PonderLY / PC-GNN

(WWW 2021) Source code of PC-GNN

gnns gnn-algorithm

Updated Dec 26, 2021
Python

tech-srl / bottleneck

Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"

graph networks of the neural bottleneck on gnns over-squashing oversquashing

Updated Apr 25, 2022
Python

asarigun / awesome-denovo-papers

Awesome De novo drugs design papers

machine-learning deep-learning cheminformatics paper generative-model neural-networks drug-discovery drug-design gans gcn variational-autoencoder diffusion-model gnns deep-generative-models denovo-design target-based-drug

Updated Nov 21, 2023

gongchenghua / Papers-Graphs-with-Heterophily

A Survey of Learning from Graphs with Heterophily

deep-learning survey gnns self-supervised-learning contrastive-learning gnn-learning heterophily

Updated Oct 3, 2024

Graphlet-AI / graphml-class

Full Stack Graph Machine Learning: Theory, Practice, Tools and Techniques

machine-learning ai deep-learning graph-algorithms graphs full-stack machinelearning deeplearning network-analysis graphml gnns gnn

Updated May 27, 2024
Jupyter Notebook

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.

survey overview attention nmf link-prediction dynamic-graph-algorithm rnns weighted-graphs gnns inductive-learning dynamic-graphs temporal-link-prediction dynamic-graph-embedding dynamic-link-prediction

Updated Dec 26, 2023
Python

shamim-hussain / egt

Edge-Augmented Graph Transformer

graphs transformer attention gnns self-attention graph-learning

Updated Jun 7, 2022
Python

JockWang / Graph-in-Recommendation-Systems

GNNs in Recommendation Systems

graph recommendation-system papers graph-convolutional-networks gcn gnns graph-neural-networks gnn

Updated Jun 10, 2020

nianticlabs / relpose-gnn

[3DV21] Visual Camera Re-Localization Using Graph Neural Networks and Relative Pose Supervision, M. Türkoǧlu et al.

machine-learning computer-vision deep-learning eth-zurich ucl machine-vision pose-estimation niantic relocalisation relocalization gnns graph-neural-networks gnn relative-position 3dv2021

Updated Apr 21, 2023
Python

dmitrykazhdan / Representing-Programs-with-Graphs

Re-implementation and extension of the work described in "Learning to Represent Programs with Graphs"

microsoft machine-learning graphs microsoft-machine-learning microsoft-research gnns graph-neural-networks variable-naming ml-programming programming-ml

Updated May 14, 2019
Python

ytchx1999 / PyG-OGB-Tricks

Bags of Tricks in OGB (node classification) with GCNs.

graph-convolutional-networks gnns node-classification graph-neural-networks torch-geometric ogb open-graph-benchmark residual-connections

Updated Aug 11, 2021
Python

AndMastro / protein-ligand-GNN

This repository contains the code for the work on protein-ligand interaction with GNNs and XAI

protein-ligand-interactions gnns xai

Updated Jan 3, 2024
Python

wengroup / matten

MatTen: Equivariant Graph Neural Nets for Tensorial Properties of Materials

machine-learning gnns mechanical-properties equivariant-graph-neural-network elasticity-tensor materials-tensor

Updated Oct 28, 2024
Python

Improve this page

Add a description, image, and links to the gnns topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the gnns topic, visit your repo's landing page and select "manage topics."