GitHub

STM-Graph: A Python Framework for Spatio-Temporal Mapping and Graph Neural Network Predictions

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...
GitHub

ECAI 2023 - Graph Neural Networks For Mapping Variables Between Programs

This repository contains the code and data used for the paper "Graph Neural Networks For Mapping Variables Between Programs", accepted at ECAI 2023. We present a novel graph program representation ...
IEEE

SGA-Net: A Sparse Graph Attention Network for Two-View Correspondence Learning

Abstract: Establishing reliable correspondences between two images is a fundamental and important task in computer vision. This paper proposes a novel network called Sparse Graph Attention Network ...
IEEE

EEG Signal Epilepsy Detection With a Weighted Neighbor Graph Representation and Two-Stream Graph-Based Framework

Abstract: Epilepsy is one of the most common neurological diseases. Clinically, epileptic seizure detection is usually performed by analyzing electroencephalography (EEG) signals. At present, deep ...