Maximizing reachability in a temporal graph obtained by assigning starting times to a collection of walks
Sign Up to like & getrecommendations! Published in 2022 at "Networks"
DOI: 10.1002/net.22123
Abstract: In a temporal graph, each edge appears and can be traversed at specific points in time. In such a graph, temporal reachability of one node from another is naturally captured by the existence of a… read more here.
Keywords: maximizing reachability; trip temporalization; temporal graph; reachability ... See more keywords
Robust sequential subspace clustering via ℓ1-norm temporal graph
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2019.12.019
Abstract: Abstract Subspace clustering (SC) has been widely applied to segment data drawn from multiple subspaces. However, for sequential data, a main challenge in subspace clustering is to exploit temporal information. In this paper, we propose… read more here.
Keywords: temporal graph; subspace clustering; norm temporal; robust sequential ... See more keywords
A Temporal Graph Model to Predict Chemical Transformations in Complex Dissolved Organic Matter.
Sign Up to like & getrecommendations! Published in 2023 at "Environmental science & technology"
DOI: 10.1021/acs.est.3c00351
Abstract: Dissolved organic matter (DOM) is a complex mixture of thousands of natural molecules that undergo constant transformation in the environment, such as sunlight induced photochemical reactions. Despite molecular level resolution from ultrahigh resolution mass spectrometry… read more here.
Keywords: temporal graph; organic matter; graph; dissolved organic ... See more keywords
Multimodal Pedestrian Trajectory Prediction Based on Relative Interactive Spatial-Temporal Graph
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3200066
Abstract: Predicting and understanding pedestrian intentions is crucial for autonomous vehicles and mobile robots to navigate in a crowd. However, the movement of pedestrian is random. Pedestrian trajectory modeling needs to consider not only the past… read more here.
Keywords: temporal graph; pedestrian trajectory; prediction; spatial temporal ... See more keywords
Evolution of Transaction Pattern in Ethereum: A Temporal Graph Perspective
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2021.3108788
Abstract: Ethereum is one of the most popular blockchain systems that support more than half a million transactions every day and foster miscellaneous decentralized applications with its Turing-complete smart contract machine. Whereas it remains mysterious what… read more here.
Keywords: temporal graph; contract; pattern ethereum; transaction ... See more keywords
Spatial-Temporal Graph Network for Video Crowd Counting
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2022.3187194
Abstract: In recent years, researchers have developed many deep-learning-based methods to count crowd numbers in static images. However, much fewer works focus on video-based crowd counting, in which the critical challenge of temporal correlation has not… read more here.
Keywords: crowd counting; video; spatial temporal; temporal graph ... See more keywords
SuperGraph: Spatial-Temporal Graph-Based Feature Extraction for Rotating Machinery Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2021.3075871
Abstract: Vibration signals always contain noise and irregularities, which makes spectrum analysis difficult to extract high-level features. Recently, graph theory has been applied to spectrum analysis to improve the performance of feature extraction. By converting the… read more here.
Keywords: feature extraction; temporal graph; spatial temporal; based feature ... See more keywords
Spatio-Temporal Graph Attention Network for Sintering Temperature Long-Range Forecasting in Rotary Kilns
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3210028
Abstract: Monitoring and forecasting of sintering temperature (ST) is vital for safe, stable, and efficient operation of rotary kiln production process. Due to the complex coupling and time-varying characteristics of process data collected by the distributed… read more here.
Keywords: temporal graph; time; long range; graph ... See more keywords
Learning Hierarchical Spatial-Temporal Graph Representations for Robust Multivariate Industrial Anomaly Detection
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3216006
Abstract: Multivariate time series anomaly detection is one of the most indispensable yet troublesome links in complex industrial processes. The main challenge lies in discovering the representative patterns for collective or contextual anomalies among interconnected sensory… read more here.
Keywords: hierarchical spatial; temporal graph; spatial temporal; anomaly detection ... See more keywords
A Novel Structural Damage Detection Method via Multisensor Spatial–Temporal Graph-Based Features and Deep Graph Convolutional Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2023.3238048
Abstract: Structural damage detection plays an important part in structural health monitoring for engineering structures. However, monitored signals are easily polluted by noise and the damaged data are difficult to obtain. In this work, a novel… read more here.
Keywords: temporal graph; multisensor spatial; graph; spatial temporal ... See more keywords
Multiscale Spatio-Temporal Graph Neural Networks for 3D Skeleton-Based Motion Prediction
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2021.3108708
Abstract: We propose a multiscale spatio-temporal graph neural network (MST-GNN) to predict the future 3D skeleton-based human poses in an action-category-agnostic manner. The core of MST-GNN is a multiscale spatio-temporal graph that explicitly models the relations… read more here.
Keywords: temporal graph; mst gnn; mst; spatio temporal ... See more keywords