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08/09/2022
Automating DBSCAN via Deep Reinforcement Learning
DBSCAN is widely used in many scientific and engineering fields because ...
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10/13/2021
Cross-lingual COVID-19 Fake News Detection
The COVID-19 pandemic poses a great threat to global public health. Mean...
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04/25/2021
User Preference-aware Fake News Detection
Disinformation and fake news have posed detrimental effects on individua...
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04/16/2021
Higher-Order Attribute-Enhancing Heterogeneous Graph Neural Networks
Graph neural networks (GNNs) have been widely used in deep learning on g...
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04/16/2021
Reinforced Neighborhood Selection Guided Multi-Relational Graph Neural Networks
Graph Neural Networks (GNNs) have been widely used for the representatio...
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01/21/2021
Knowledge-Preserving Incremental Social Event Detection via Heterogeneous GNNs
Social events provide valuable insights into group social behaviors and ...
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08/19/2020
Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters
Graph Neural Networks (GNNs) have been widely applied to fraud detection...
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06/10/2020
Robust Spammer Detection by Nash Reinforcement Learning
Online reviews provide product evaluations for customers to make decisio...
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06/10/2020
Robust Detection of Adaptive Spammers by Nash Reinforcement Learning
Online reviews provide product evaluations for customers to make decisio...
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05/01/2020
Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection
The graph-based model can help to detect suspicious fraud online. Owing ...
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07/05/2019