Jianke Yu

Orcid: 0000-0002-2032-7727

According to our database1, Jianke Yu authored at least 20 papers between 2022 and 2026.

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Bibliography

2026
MGDN: A Graph of Graphs Neural Network for Malware Detection.
IEEE Trans. Knowl. Data Eng., July, 2026

A Hypergraph-Based Framework for Exploratory Business Intelligence.
CoRR, March, 2026

Finding critical users in social networks with reinforcement learning.
Inf. Sci., 2026

2025
Correction to: IGFM: An Enhanced Graph Similarity Computation Method with Fine‑Grained Analysis.
Data Sci. Eng., September, 2025

IGFM: An Enhanced Graph Similarity Computation Method with Fine-Grained Analysis.
Data Sci. Eng., September, 2025

RIDA: a robust attack framework on incomplete graphs.
World Wide Web (WWW), August, 2025

Temporal Insights for Group-Based Fraud Detection on e-Commerce Platforms.
IEEE Trans. Knowl. Data Eng., February, 2025

Deep Overlapping Community Search via Subspace Embedding.
Proc. ACM Manag. Data, February, 2025

RPDN: An Effective Rating Pollution Attacks Detection Framework for Recommendation Systems.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

AEFA: An Ensemble Framework for Fraud Detection in the Forex Market.
Proceedings of the Advanced Data Mining and Applications - 21st International Conference, 2025

2024
Neural Similarity Search on Supergraph Containment.
IEEE Trans. Knowl. Data Eng., January, 2024

RIDA: A Robust Attack Framework on Incomplete Graphs.
CoRR, 2024

Neural Similarity Search on Supergraph Containment (Extended Abstract).
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

SBGMN: A Multi-view Sign Prediction Network for Bipartite Graphs.
Proceedings of the Web and Big Data - 8th International Joint Conference, 2024

2023
FPGN: follower prediction framework for infectious disease prevention.
World Wide Web (WWW), November, 2023

Bipartite graph capsule network.
World Wide Web (WWW), January, 2023

Group-based Fraud Detection Network on e-Commerce Platforms.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

KGNIE: A Learning Method for Estimating Node Importance in Knowledge Graphs.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs.
Proceedings of the Databases Theory and Applications, 2023

2022
Polarity-based graph neural network for sign prediction in signed bipartite graphs.
World Wide Web, 2022


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