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06/12/2023
Coupled Attention Networks for Multivariate Time Series Anomaly Detection
Multivariate time series anomaly detection (MTAD) plays a vital role in ...
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05/25/2023
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning
In the field of quantitative trading, it is common practice to transform...
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02/02/2023
Quantum Graph Learning: Frontiers and Outlook
Quantum theory has shown its superiority in enhancing machine learning. ...
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04/06/2022
CHIEF: Clustering with Higher-order Motifs in Big Networks
Clustering a group of vertices in networks facilitates applications acro...
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03/17/2022
Graph Augmentation Learning
Graph Augmentation Learning (GAL) provides outstanding solutions for gra...
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02/23/2022
Data-Driven Decision Making in COVID-19 Response: A Survey
COVID-19 has spread all over the world, having an enormous effect on our...
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03/07/2021
Graph Force Learning
Features representation leverages the great power in network analysis ta...
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08/27/2020
OFFER: A Motif Dimensional Framework for Network Representation Learning
Aiming at better representing multivariate relationships, this paper inv...
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08/09/2020
Multivariate Relations Aggregation Learning in Social Networks
Multivariate relations are general in various types of networks, such as...
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08/09/2020
