Spatio-Temporal Forecasting of PM2.5 via Spatial-Diffusion guided Encoder-Decoder Architectureby Malay Pandey, Vaishali Jain, Nimit Godhani,…
WaveGNN: Modeling Irregular Multivariate Time Series for Accurate Predictionsby Arash Hajisafi, Maria Despoina Siampou, Bita…
A Hybrid Real-Time Framework for Efficient Fussell-Vesely Importance Evaluation Using Virtual Fault Trees and Graph…
Universal Inceptive GNNs by Eliminating the Smoothness-generalization Dilemmaby Ming Gu, Zhuonan Zheng, Sheng Zhou, Meihan…
DistrictNet: Decision-aware learning for geographical districtingby Cheikh Ahmed, Alexandre Forel, Axel Parmentier, Thibaut VidalFirst submitted…
Cluster-Enhanced Federated Graph Neural Network for Recommendationby Haiyan Wang, Ye YuanFirst submitted to arxiv on:…
Deep Learning-Enhanced Preconditioning for Efficient Conjugate Gradient Solvers in Large-Scale PDE Systemsby Rui Li, Song…
Stock Type Prediction Model Based on Hierarchical Graph Neural Networkby Jianhua Yao, Yuxin Dong, Jiajing…
A Self-guided Multimodal Approach to Enhancing Graph Representation Learning for Alzheimer’s Diseasesby Zhepeng Wang, Runxue…
Long-Term Auto-Regressive Prediction using Lightweight AI Models: Adams-Bashforth Time Integration with Adaptive Multi-Step Rolloutby Sunwoong…