Výsledky vyhledávání - "temporal graph autoencoder"

TGAE: Temporal Graph Autoencoder for Travel Forecasting Autor Wang, Qiang, Jiang, Hao, Qiu, Meikang, Liu, Yifeng, Ye, Dongsheng

“… To confront these challenges, we treat the dynamic traffic networks as multiple weighted directed network snapshots and propose a graph-based deep learning framework, Temporal Graph Autoencoder (TGAE…”
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Edge-Focused Temporal Graph Autoencoders for Anomalous Link Prediction in OT Networks Autor Howe, Alex, Papa, Mauricio

“… The proposed approach proposes a novel edge-focused temporal graph autoencoder that explicitly models edge features alongside temporal variations to improve intrusion detection performance…”
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Graph autoencoder with mirror temporal convolutional networks for traffic anomaly detection Autor Ren, Zhiyu, Li, Xiaojie, Peng, Jing, Chen, Ken, Tan, Qushan, Wu, Xi, Shi, Canghong

“… In this paper, we propose a mirror temporal graph autoencoder (MTGAE) framework to explore anomalies and capture unseen nodes and the spatiotemporal correlation between nodes in the traffic network…”
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Multi-Task Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising Autor Zhou, Kanglei, Shum, Hubert P. H., Li, Frederick W. B., Liang, Xiaohui

“…In many human-computer interaction applications, fast and accurate hand tracking is necessary for an immersive experience. However, raw hand motion data can be…”
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DPDeno: A Post-Processing Framework for Releasing Differentially Private Spatio-Temporal Mobility Features Autor Sun, Xinyue, Liu, Xiaoyu, Ye, Qingqing, Hu, Haibo, Yang, Renyu, He, Hui, Zhang, Weizhe

“…The spatio-temporal (ST) mobility patterns derived from trajectory data are crucial for applications such as location-based services and urban analytics…”
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Efficient Learning-Based Graph Simulation for Temporal Graphs Autor Xiang, Sheng, Xu, Chenhao, Cheng, Dawei, Wang, Xiaoyang, Zhang, Ying

“…Graph simulation has recently received a surge of attention in graph processing and analytics. In real-life applications, e.g. social science, biology, and…”
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Large Scale, Data Driven, Digital Twin Models: Outlier Detection and Imputation Autor Wieser, Raymond, Fan, Yangxin, Yu, Xuanji, Braid, Jennifer, Shaton, Avishai, Hoffman, Adam, Spurgeon, Ben, Gibbons, Daniel, Bruckman, Laura S., Wu, Yinghui, French, Roger H.

“…Precise and comprehensive records of system performance is imperative for the efficient monitoring and prediction of Photovoltaic (PV) power generation…”
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Spatio-temporal Graph-Based Generation and Detection of Adversarial False Data Injection Evasion Attacks in Smart Grids Autor Takiddin, Abdulrahman, Ismail, Muhammad, Atat, Rachad, Serpedin, Erchin

“…Smart power grids are vulnerable to security threats due to their cyber-physical nature. Existing data-driven detectors aim to address simple traditional false…”
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Data Driven Event Analysis for Cyber-Power System Autor Ahmed, Arman

“…Power grid is prone to a diverse set of events, namely, power, cyber, and cyber-induced power events. Time-synchronized data from Phasor Measurement Units…”
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