torch-geometric
There are 24 repositories under torch-geometric topic.
Lightning-Universe/lightning-flash
Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7 data domains
sangyx/gtrick
Bag of Tricks for Graph Neural Networks.
ytchx1999/PyG-OGB-Tricks
Bags of Tricks in OGB (node classification) with GCNs.
fpichi/gca-rom
GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.
Ascend-Research/AIO-P
Code repo for the paper "AIO-P: Expanding Neural Performance Predictors Beyond Image Classification", accepted to AAAI-23.
nnaakkaaii/g2-MLP
g2-MLP: State-of-the-Art Model for Node Classification on Graphs (PPI Dataset)
Ascend-Research/GENNAPE
Code repo for the paper "GENNAPE: Towards Generalized Neural Architecture Performance Estimators", accepted to AAAI-23.
lmriccardo/few-shot-graph-classification
Project for Deep Learning And Applied AI course at the University of "La Sapienza" in Master in Computer Science A.A. 2021/2022
abdullah-al-masud/graph-convolutional-network
This repository is a brief tutorial about how Graph convolutional networks and message passing networks work with example code demonstration using pytorch and torch_geometric
mabdolali/GNN_bootcamp
Graph Neural Networks: From Zero To Hero
taindp98/ConAN-FGW
š§¬ Official implementation of Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks [ICML 2024]
machinelearningzuu/everything-about-graph-neural-nets
In this repo I have implement different applications of GNN which covers Node Level, Edge level, Graph level tasks with different GNN variants such as GCN, GAT, Graph SAGE
edwarddramirez/taxi-forecast
Forecast NYC taxi activity with deep learning. We compare the performances of models based on MLPs, RNNs, LSTMs, GNNs, and ARIMAX. Additionally, our code provides users with an easy-to-use pipeline for producing custom time series datasets of taxi activity from publicly available NYC TLC data.
Deceptrax123/Drug-Drug-Interaction-Dataloader
PyTorch code for an effective way of making a Molecular Graph Dataset in Torch Geometric involving a pair of graphs from chemical SMILE strings
evandiewald/helium-arango-analysis
Tools for querying, visualizing, and modeling network graphs on the Helium blockchain.
LakhderAmine99/Graph_Neural_Networks
An introduction to graph neural networks with pytorch
sophiaas/transform-datasets
Datasets for modeling transformations in data.
theadamsabra/node_embedders
Torch geometric compatible node embedders
DragonChen-TW/SPGIE_thesis
Code of my master thesis - Local Image Explainer based on Superpixel Algorithms and Graph Neural Networks
Harshtherocking/Graphical-Sentiment-Analysis
Graph Convolution Network aided Sentiment Analysis with Dependencies utilisation
LouisStefanuto/icecube_kaggle
Kaggle competition (2023). Predict neutrino particle direction with Deep Graph Neural Networks.
pratzohol/GPPT-working
Rebased the code for GPPT
RianBrug/gcn_for_covid_sc_brazil
This project optimizes a Graph Convolutional Network (GCN) model with Optuna to predict COVID-19 cases in various regions, incorporating additional features alongside historical data for improved accuracy.
quy-ng/GASubgraph
using GA to find an important subgraph