Paper-Conference

CCF-C

AEFA: An Ensemble Framework for Fraud Detection in the Forex Market

International Conference on Advanced Data Mining and Applications, 2025

weiyuan-wang
CCF-A

Deep Overlapping Community Search via Subspace Embedding

Overlapping Community Search (OCS) identifies nodes that interact with multiple communities based on a specified query. Existing community search approaches fall into two …

sima-qing
CCF-C

RPDN: An Effective Rating Pollution Attacks Detection Framework for Recommendation Systems

Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2025

yue-gu
CCF-A

Neural Similarity Search on Supergraph Containment (Extended Abstract)

Supergraph search is a fundamental graph query processing problem. Supergraph search aims to find all data graphs contained in a given query graph based on the subgraph …

hanchen-wang
CCF-C

SBGMN: A Multi-view Sign Prediction Network for Bipartite Graphs

Asia Pacific Web Conference (APWeb-WAIM), 2024

yuanyuan-jiang
CCF-C

KGNIE: A Learning Method for Estimating Node Importance in Knowledge Graphs

Estimating node importance is critical in graph data mining, benefiting various downstream applications such as social network analysis and recommendation systems. Existing …

yin-chen

IFGNN: An Individual Fairness Awareness Model for Missing Sensitive Information Graphs

Australasian Database Conference, 2023

kejia-xu
CCF-A

Group-based Fraud Detection Network on e-Commerce Platforms

Along with the rapid technological and commercial innovation on the e-commerce platforms, there are an increasing number of frauds that bring great harm to these platforms. Many …

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Jianke Yu