torch-geometric-signed-directed
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
polygnn
PolyGNN: Polyhedron-based graph neural network for 3D building reconstruction from point clouds [ISPRS 2024]
gnn-pressure-estimation
DiTEC research
torch-spatiotemporal
tsl: a PyTorch library for processing spatiotemporal data.
mangrove
Using Graph Neural Networks to regress baryonic properties directly from full dark matter merger trees.
city2graph
Transform geospatial relations into graph representations designed for spatial analysis and Graph Neural Networks (GNNs).
igb-datasets
Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards and in collaboration with NVIDIA Research.
NeuralGraphPDE
Integrating Neural Ordinary Differential Equations, the Method of Lines, and Graph Neural Networks
imu2text
IMU2Text: A hybrid CNN+GNN pipeline for handwriting recognition and trajectory prediction using IMU data with state-of-the-art accuracy (99.74%).
https://github.com/adicksonlab/agdiff
Implementation of AGDIFF: Attention-Enhanced Diffusion for Molecular Geometry Prediction
https://github.com/astrazeneca/awesome-drug-pair-scoring
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
https://github.com/awslabs/realtime-fraud-detection-with-gnn-on-dgl
An end-to-end blueprint architecture for real-time fraud detection(leveraging graph database Amazon Neptune) using Amazon SageMaker and Deep Graph Library (DGL) to construct a heterogeneous graph from tabular data and train a Graph Neural Network(GNN) model to detect fraudulent transactions in the IEEE-CIS dataset.
gnn_tracking
Reconstruct billions of particle trajectories with graph neural networks
