:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Duan, Chenghao, Ji, Chuanyi, Walid, Anwar, Ganz, Scott
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2603.14069
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Graph Attention Network for Predicting Duration of Large-Scale Power Outages Induced by Natural Disasters
by: Duan, Chenghao, et al.
Published: (2025)

Empowering Power Outage Prediction with Spatially Aware Hybrid Graph Neural Networks and Contrastive Learning
by: Shen, Xuyang, et al.
Published: (2026)

Spatio-Temporal Conformal Prediction for Power Outage Data
by: Jiang, Hanyang, et al.
Published: (2024)

Gated Fusion Enhanced Multi-Scale Hierarchical Graph Convolutional Network for Stock Movement Prediction
by: Xue, Xiaosha, et al.
Published: (2025)

Gated Graph Attention Networks with Learnable Temperature
by: Ma, Zhongtian, et al.
Published: (2026)

On the Power of Graph Neural Networks and Feature Augmentation Strategies to Classify Social Networks
by: Guettala, Walid, et al.
Published: (2024)

Inductive Power Grid Cascading Failure Analysis with GRU-Gated Graph Attention
by: Zhou, Tianxin, et al.
Published: (2026)

Deep Learning-Based Weather-Related Power Outage Prediction with Socio-Economic and Power Infrastructure Data
by: Wang, Xuesong, et al.
Published: (2024)

Neighbor Overlay-Induced Graph Attention Network
by: Wei, Tiqiao, et al.
Published: (2024)

Predictive Modeling of Power Outages during Extreme Events: Integrating Weather and Socio-Economic Factors
by: Fatehi, Nina, et al.
Published: (2025)

Simple Network Graph Comparative Learning
by: Yu, Qiang, et al.
Published: (2026)

Large Scale Training of Graph Neural Networks for Optimal Markov-Chain Partitioning Using the Kemeny Constant
by: Martino, Sam Alexander, et al.
Published: (2023)

TrialDura: Hierarchical Attention Transformer for Interpretable Clinical Trial Duration Prediction
by: Yue, Ling, et al.
Published: (2024)

FOCAL-Attention for Heterogeneous Multi-Label Prediction
by: Zhang, Chenghao, et al.
Published: (2026)

SFi-Former: Sparse Flow Induced Attention for Graph Transformer
by: Li, Zhonghao, et al.
Published: (2025)

Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
by: Hoang-Minh, Thanh
Published: (2025)

SARIMAX-Based Power Outage Prediction During Extreme Weather Events
by: Ye, Haoran, et al.
Published: (2025)

DGTN: Graph-Enhanced Transformer with Diffusive Attention Gating Mechanism for Enzyme DDG Prediction
by: Lin, Abigail
Published: (2025)

Regenerative Particle Thompson Sampling
by: Zhou, Zeyu, et al.
Published: (2022)

A Hybrid PCA-PR-Seq2Seq-Adam-LSTM Framework for Time-Series Power Outage Prediction
by: Das, Subhabrata, et al.
Published: (2025)

Data-Driven Prediction and Uncertainty Quantification of PWR Crud-Induced Power Shift Using Convolutional Neural Networks
by: Furlong, Aidan, et al.
Published: (2024)

Scalable Context-Aware Graph Attention for Unsupervised Anomaly Detection in Large-Scale Mobile Networks
by: Malacarne, Sara, et al.
Published: (2026)

Pilot Contamination-Aware Graph Attention Network for Power Control in CFmMIMO
by: Zhang, Tingting, et al.
Published: (2025)

Position-Sensing Graph Neural Networks: Proactively Learning Nodes Relative Positions
by: Qin, Zhenyue, et al.
Published: (2021)

DisasterLex: An Expert Concept-to-Schema Knowledge Graph for Geospatial Reasoning in Disaster Analytics
by: Xiao, Yiming, et al.
Published: (2026)

PAPN: Proximity Attention Encoder and Pointer Network Decoder for Parcel Pickup Route Prediction
by: Denis, Hansi, et al.
Published: (2025)

Induced Covariance for Causal Discovery in Linear Sparse Structures
by: Mohseni-Sehdeh, Saeed, et al.
Published: (2024)

Predicting Estimated Times of Restoration for Electrical Outages Using Longitudinal Tabular Transformers
by: Teja, Bogireddy Sai Prasanna, et al.
Published: (2025)

Incremental Label Distribution Learning with Scalable Graph Convolutional Networks
by: Jia, Ziqi, et al.
Published: (2024)

Deep Reinforcement Learning for Traffic Light Control in Intelligent Transportation Systems
by: Zhu, Ming, et al.
Published: (2023)

Differential Gated Self-Attention
by: Lygizou, Elpiniki Maria, et al.
Published: (2025)

MILD: Multi-Intent Learning and Disambiguation for Proactive Failure Prediction in Intent-based Networking
by: Hossain, Md. Kamrul, et al.
Published: (2026)

Robust Anomaly Detection with Graph Neural Networks using Controllability
by: Wei, Yifan, et al.
Published: (2025)

Interpretable Hierarchical Attention Network for Medical Condition Identification
by: Fang, Dongping, et al.
Published: (2024)

Deep Graph Attention Networks
by: Kato, Jun, et al.
Published: (2024)

The prediction of the quality of results in Logic Synthesis using Transformer and Graph Neural Networks
by: Yang, Chenghao, et al.
Published: (2022)

Spatio-Temporal Attention Graph Neural Network for Remaining Useful Life Prediction
by: Huang, Zhixin, et al.
Published: (2024)

Activity-aware Human Mobility Prediction with Hierarchical Graph Attention Recurrent Network
by: Tang, Yihong, et al.
Published: (2022)

DPFAGA-Dynamic Power Flow Analysis and Fault Characteristics: A Graph Attention Neural Network
by: Le, Tan, et al.
Published: (2025)

GiGL: Large-Scale Graph Neural Networks at Snapchat
by: Zhao, Tong, et al.
Published: (2025)