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

[AAAI 2025] DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models

This repository is the official implementation of "DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models" accepted by the Main Technical Track of the 39th ...
IEEE

Graph Structure Learning for Robust Recommendation

Abstract: Recommendation systems play a crucial role in uncovering concealed interactions among users and items within online social networks. Recently, Graph Neural Network (GNN)-based recommendation ...
IEEE

Graph-Based Algorithm Unfolding for Energy-Aware Power Allocation in Wireless Networks

Abstract: We develop a novel graph-based trainable framework to maximize the weighted sum energy efficiency (WSEE) for power allocation in wireless communication networks. To address the non-convex ...