733 citations · 3.1k across the 122 of their papers we have counts for
18 papers · 1 filter
MonLAD: Money Laundering Agents Detection in Transaction Streams
Xiaobing Sun, Wenjie Feng, Shenghua Liu +5
Given a stream of money transactions between accounts in a bank, how can we accurately detect money laundering agent accounts and suspected behaviors in real-time? Money laundering…
Signed Bipartite Graph Neural Networks
Junjie Huang, Huawei Shen, Qi Cao +2
Signed networks are such social networks having both positive and negative links. A lot of theories and algorithms have been developed to model such networks (e.g., balance theory)…
PREP: Pre-training with Temporal Elapse Inference for Popularity Prediction
Qi Cao, Huawei Shen, Yuanhao Liu +2
Predicting the popularity of online content is a fundamental problem in various applications. One practical challenge takes roots in the varying length of observation time or predi…
Locate Who You Are: Matching Geo-location to Text for User Identity Linkage
Jiangli Shao, Yongqing Wang, Hao Gao +3
Nowadays, users are encouraged to activate across multiple online social networks simultaneously. Anchor link prediction, which aims to reveal the correspondence among different ac…
GCN-ALP: Addressing Matching Collisions in Anchor Link Prediction
Hao Gao, Yongqing Wang, Shanshan Lyu +2
Nowadays online users prefer to join multiple social media for the purpose of socialized online service. The problem \textit{anchor link prediction} is formalized to link user data…
SDGNN: Learning Node Representation for Signed Directed Networks
Junjie Huang, Huawei Shen, Liang Hou +1
Network embedding is aimed at mapping nodes in a network into low-dimensional vector representations. Graph Neural Networks (GNNs) have received widespread attention and lead to st…