15 citations · 45 across the 10 of their papers we have counts for
11 papers
BotTrans: A Multi-Source Graph Domain Adaptation Approach for Social Bot Detection
Boshen Shi, Yongqing Wang, Fangda Guo +3
Transferring extensive knowledge from relevant social networks has emerged as a promising solution to overcome label scarcity in detecting social bots and other anomalies with GNN-…
Graph Domain Adaptation: Challenges, Progress and Prospects
Boshen Shi, Yongqing Wang, Fangda Guo +3
As graph representation learning often suffers from label scarcity problems in real-world applications, researchers have proposed graph domain adaptation (GDA) as an effective know…
Skyline Community Search over Edge-Attributed Bipartite Graphs
Fangda Guo, Xuanpu Luo, Shiyuan Xu +4
Bipartite graphs, modeling relationships between two types of entities, are widely used in practical applications. Community search, a fundamental problem in bipartite graphs, has…
Causality and Independence Enhancement for Biased Node Classification
Guoxin Chen, Yongqing Wang, Fangda Guo +4
Most existing methods that address out-of-distribution (OOD) generalization for node classification on graphs primarily focus on a specific type of data biases, such as label selec…
FCS-HGNN: Flexible Multi-type Community Search in Heterogeneous Information Networks
Guoxin Chen, Fangda Guo, Yongqing Wang +4
Community search is a personalized community discovery problem designed to identify densely connected subgraphs containing the query node. Recently, community search in heterogeneo…
OpenGDA: Graph Domain Adaptation Benchmark for Cross-network Learning
Boshen Shi, Yongqing Wang, Fangda Guo +3
Graph domain adaptation models are widely adopted in cross-network learning tasks, with the aim of transferring labeling or structural knowledge. Currently, there mainly exist two…
Adversarial for Social Privacy: A Poisoning Strategy to Degrade User Identity Linkage
Jiangli Shao, Yongqing Wang, Boshen Shi +3
Privacy issues on social networks have been extensively discussed in recent years. The user identity linkage (UIL) task, aiming at finding corresponding users across different soci…
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…
Marked Temporal Dynamics Modeling based on Recurrent Neural Network
Yongqing Wang, Shenghua Liu, Huawei Shen +1
We are now witnessing the increasing availability of event stream data, i.e., a sequence of events with each event typically being denoted by the time it occurs and its mark inform…
Learning user-specific latent influence and susceptibility from information cascades
Yongqing Wang, Hua-Wei Shen, Shenghua Liu +1
Predicting cascade dynamics has important implications for understanding information propagation and launching viral marketing. Previous works mainly adopt a pair-wise manner, mode…