activity
20192022
most citedCLARE: A Semi-supervised Community Detection Algorithm

39 citations · 73 across the 5 of their papers we have counts for

collaborators

6 papers

cs.SI202239 cited

CLARE: A Semi-supervised Community Detection Algorithm

Xixi Wu, Yun Xiong, Yao Zhang +5

Community detection refers to the task of discovering closely related subgraphs to understand the networks. However, traditional community detection algorithms fail to pinpoint a p…

cs.AI202218 cited

Triangle Graph Interest Network for Click-through Rate Prediction

Wensen Jiang, Yizhu Jiao, Qingqin Wang +6

Click-through rate prediction is a critical task in online advertising. Currently, many existing methods attempt to extract user potential interests from historical click behavior…

cs.IR20217 cited

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer

Ziwei Fan, Zhiwei Liu, Jiawei Zhang +3

In order to model the evolution of user preference, we should learn user/item embeddings based on time-ordered item purchasing sequences, which is defined as Sequential Recommendat…

cs.LG2020

Sub-graph Contrast for Scalable Self-Supervised Graph Representation Learning

Yizhu Jiao, Yun Xiong, Jiawei Zhang +3

Graph representation learning has attracted lots of attention recently. Existing graph neural networks fed with the complete graph data are not scalable due to limited computation…

cs.SI20208 cited

ISTD-GCN: Iterative Spatial-Temporal Diffusion Graph Convolutional Network for Traffic Speed Forecasting

Yi Xie, Yun Xiong, Yangyong Zhu

Most of the existing algorithms for traffic speed forecasting split spatial features and temporal features to independent modules, and then associate information from both dimensio…

cs.SI20191 cited

Collective Link Prediction Oriented Network Embedding with Hierarchical Graph Attention

Yizhu Jiao, Yun Xiong, Jiawei Zhang +1

To enjoy more social network services, users nowadays are usually involved in multiple online sites at the same time. Aligned social networks provide more information to alleviate…