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Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams

ACM transactions on knowledge discovery from data, 2020-04, Vol.14 (2), p.1-39

2020

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PowerCast: Mining and Forecasting Power Grid Sequences

Machine Learning and Knowledge Discovery in Databases, p.606-621

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Power-Hop: A Pervasive Observation for Real Complex Networks

PloS one, 2016-03, Vol.11 (3), p.e0151027-e0151027

2016

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Detecting Group Anomalies in Tera-Scale Multi-Aspect Data via Dense-Subtensor Mining

Frontiers in big data, 2021-04, Vol.3, p.594302-594302

2021

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Deep Long-Tailed Learning: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2023-09, Vol.45 (9), p.1-20

2023

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Efficient Heterogeneous Graph Learning via Random Projection

IEEE transactions on knowledge and data engineering, 2024-08, p.1-14

2024

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A Contrast Metric for Fraud Detection in Rich Graphs

IEEE transactions on knowledge and data engineering, 2019-12, Vol.31 (12), p.2235-2248

2019

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STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation

Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020, p.845-854

2020

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MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering

IEEE transactions on knowledge and data engineering, 2024-07, Vol.36 (7), p.3281-3296

2024

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Dynamic Graph-Based Anomaly Detection in the Electrical Grid

IEEE transactions on power systems, 2022-09, Vol.37 (5), p.3408-3422

2022

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CapMax: A Framework for Dynamic Network Representation Learning From the View of Multiuser Communication

IEEE transaction on neural networks and learning systems, 2024-04, Vol.35 (4), p.4554-4566

2024

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Continuous-time graph directed information maximization for temporal network representation

Information sciences, 2023-10, Vol.644, p.119240, Article 119240

2023

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Structural Patterns and Generative Models of Real-world Hypergraphs

Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2020, p.176-186

2020

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A multi-scale reconstruction method for the anomaly detection in stochastic dynamic networks

Neurocomputing (Amsterdam), 2023-01, Vol.518, p.482-495

2023

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MStream: Fast Anomaly Detection in Multi-Aspect Streams

Proceedings of the Web Conference 2021, 2021, p.3371-3382

2021

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Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining

ACM transactions on knowledge discovery from data, 2018-06, Vol.12 (3), p.1-30

2018

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Interrelated Dense Pattern Detection in Multilayer Networks

IEEE transactions on knowledge and data engineering, 2024, p.1-15

2024

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Time Series Anomaly Detection With Adversarial Reconstruction Networks

IEEE transactions on knowledge and data engineering, 2023-04, Vol.35 (4), p.4293-4306

2023

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Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks

Machine Learning and Knowledge Discovery in Databases, p.274-290

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Autonomous graph mining algorithm search with best performance trade-off

Knowledge and information systems, 2022-06, Vol.64 (6), p.1571-1602

2022

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Benefit-aware early prediction of health outcomes on multivariate EEG time series

Journal of biomedical informatics, 2023-03, Vol.139, p.104296-104296, Article 104296

2023

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Spade: A Real-Time Fraud Detection Framework on Evolving Graphs

Proceedings of the VLDB Endowment, 2022-11, Vol.16 (3), p.461-469

2022

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Graph-Based Fraud Detection in the Face of Camouflage

ACM transactions on knowledge discovery from data, 2017-11, Vol.11 (4), p.1-26

2017

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MemStream: Memory-Based Streaming Anomaly Detection

Proceedings of the ACM Web Conference 2022, 2022, p.610-621

2022

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EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection

Future generation computer systems, 2021-02, Vol.115, p.236-250

2021

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Fast, Accurate and Provable Triangle Counting in Fully Dynamic Graph Streams

PowerCast: Mining and Forecasting Power Grid Sequences

Power-Hop: A Pervasive Observation for Real Complex Networks

Detecting Group Anomalies in Tera-Scale Multi-Aspect Data via Dense-Subtensor Mining

Deep Long-Tailed Learning: A Survey

Efficient Heterogeneous Graph Learning via Random Projection

A Contrast Metric for Fraud Detection in Rich Graphs

STP-UDGAT: Spatial-Temporal-Preference User Dimensional Graph Attention Network for Next POI Recommendation

MGDCF: Distance Learning via Markov Graph Diffusion for Neural Collaborative Filtering

Dynamic Graph-Based Anomaly Detection in the Electrical Grid

CapMax: A Framework for Dynamic Network Representation Learning From the View of Multiuser Communication

Continuous-time graph directed information maximization for temporal network representation

Structural Patterns and Generative Models of Real-world Hypergraphs

A multi-scale reconstruction method for the anomaly detection in stochastic dynamic networks

MStream: Fast Anomaly Detection in Multi-Aspect Streams

Fast, Accurate, and Flexible Algorithms for Dense Subtensor Mining

Interrelated Dense Pattern Detection in Multilayer Networks

Time Series Anomaly Detection With Adversarial Reconstruction Networks

Probing Spurious Correlations in Popular Event-Based Rumor Detection Benchmarks

Autonomous graph mining algorithm search with best performance trade-off

Benefit-aware early prediction of health outcomes on multivariate EEG time series

Spade: A Real-Time Fraud Detection Framework on Evolving Graphs

Graph-Based Fraud Detection in the Face of Camouflage

MemStream: Memory-Based Streaming Anomaly Detection

EagleMine: Vision-guided Micro-clusters recognition and collective anomaly detection

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