activity
20182023
most citedAlleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection

295 citations · 298 across the 7 of their papers we have counts for

collaborators

8 papers

cs.SI20222 cited

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph

Mingdai Yang, Zhiwei Liu, Liangwei Yang +4

Due to the proliferation of social media, a growing number of users search for and join group activities in their daily life. This develops a need for the study on the ranking-base…

cs.IR2022

MetaKRec: Collaborative Meta-Knowledge Enhanced Recommender System

Liangwei Yang, Shen Wang, Jibing Gong +4

Knowledge graph (KG) enhanced recommendation has demonstrated improved performance in the recommendation system (RecSys) and attracted considerable research interest. Recently the…

cs.IR20221 cited

Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer

Ziwei Fan, Zhiwei Liu, Chen Wang +3

Sequential Recommendation (SR) models user dynamics and predicts the next preferred items based on the user history. Existing SR methods model the 'was interacted before' item-item…

cs.AI2022

Evidential Temporal-aware Graph-based Social Event Detection via Dempster-Shafer Theory

Jiaqian Ren, Lei Jiang, Hao Peng +3

The rising popularity of online social network services has attracted lots of research on mining social media data, especially on mining social events. Social event detection, due…

cs.SI2020295 cited

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection

Zhiwei Liu, Yingtong Dou, Philip S. Yu +2

The graph-based model can help to detect suspicious fraud online. Owing to the development of Graph Neural Networks~(GNNs), prior research work has proposed many GNN-based fraud de…

cs.IR2020

BasConv: Aggregating Heterogeneous Interactions for Basket Recommendation with Graph Convolutional Neural Network

Zhiwei Liu, Mengting Wan, Stephen Guo +2

Within-basket recommendation reduces the exploration time of users, where the user's intention of the basket matters. The intent of a shopping basket can be retrieved from both use…