MINT: Detecting Fraudulent Behaviors from Time-series Relational Data

Summary: MINT models each user’s time-series relational data as a time-aware behavior graph, learning short-, medium-, and long-term intentions via multiview graph convolutions. Gated row-level interactions improve fraud detection, interpretability, and scalable training on billions of records. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 13379
Venue: VLDB
Year: 2023
Pagerank: 5.093636e-05
Overall Rank: 11,465 | 21.34%
DOI: 10.14778/3611540.3611551

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

1. Fei Xiao (National University of Singapore; Shopee Singapore)
2. Yuncheng Wu (National University of Singapore)
3. Meihui Zhang (Beijing Institute of Technology)
4. Gang Chen (Zhejiang University)
5. Beng Chin Ooi (National University of Singapore)

BibTeX Citation

@article{xiao_vldb23,
        title = {{MINT: Detecting Fraudulent Behaviors from Time-series Relational Data}},
        author = {Xiao, Fei and Wu, Yuncheng and Zhang, Meihui and Chen, Gang and Ooi, Beng Chin},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {12},
        pages = {3610--3623},
        doi = {10.14778/3611540.3611551},
        url = {https://doi.org/10.14778/3611540.3611551},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

Showing 0 of 0 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank	Cited Paper	Year	Venue	Pagerank
927	Real-time Constrained Cycle Detection in Large Dynamic Graphs	2018	VLDB	0.00013161079
1,402	Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks	2020	SIGMOD	0.00010888094
2,179	Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra	2019	SIGMOD	9.0146333e-05
2,374	Causal Relational Learning	2020	SIGMOD	8.6755064e-05
3,203	TitAnt: Online Real-time Transaction Fraud Detection in Ant Financial	2019	VLDB	7.6402128e-05
4,390	ARM-Net: Adaptive Relation Modeling Network for Structured Data	2021	SIGMOD	6.7290926e-05
4,666	xFraud: Explainable Fraud Transaction Detection	2022	VLDB	6.577136e-05
5,253	Rudolf: Interactive Rule Refinement System for Fraud Detection	2016	VLDB	6.2989009e-05
7,011	GPU-Accelerated Graph Label Propagation for Real-Time Fraud Detection	2021	SIGMOD	5.7263348e-05
8,390	Spade: A Real-Time Fraud Detection Framework on Evolving Graphs	2023	VLDB	5.4360143e-05
9,205	GOLDRUSH: Rule Sharing System for Fraud Detection	2018	VLDB	5.3058708e-05
11,391	Regularized Pairwise Relationship based Analytics for Structured Data	2023	SIGMOD	5.093636e-05

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8	9,207	Behavior Query Discovery in System-Generated Temporal Graphs	2016	VLDB
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