Junhao Gan

Neural Graph Matching based Collaborative Filtering

Y Su, R Zhang, S M. Erfani, J Gan

Conference Proceedings  |  2021  |  SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

User and item attributes are essential side-information; their interactions (i.e., their co-occurrence in the sample data) can sig..

Dynamic Structural Clustering on Graphs

B Ruan, J Gan, H Wu, A Wirth

Conference Proceedings  |  2021  |  Proceedings of the ACM SIGMOD International Conference on Management of Data

\em Structural Clustering ($\strclu$) is one of the most popular graph clustering paradigms. In this paper, we consider &#..

Unifying the Global and Local Approaches: An Efficient Power Iteration with Forward Push

H Wu, J Gan, Z Wei, R Zhang

Conference Proceedings  |  2021  |  Proceedings of the ACM SIGMOD International Conference on Management of Data

Personalized PageRank (PPR) is a critical measure of the importance of a node t to a source node s in a graph. The Single-Source P..

Learning Based Distributed Tracking

Hao Wu, Junhao Gan, Rui Zhang

Conference Proceedings  |  2020  |  Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Inspired by the great success of machine learning in the past decade, people have been thinking about the possibility of improving..

Personalized PageRank to a Target Node, Revisited

Hanzhi Wang, Zhewei Wei, Junhao Gan, Sibo Wang, Zengfeng Huang

Conference Proceedings  |  2020  |  Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Personalized PageRank (PPR) is a widely used node proximity measure in graph mining and network analysis. Given a source node s an..

Incremental preference adjustment: a graph-theoretical approach

Liangjun Song, Junhao Gan, Zhifeng Bao, Boyu Ruan, H Jagadish, Timos Sellis

Journal article  |  2020  |  The VLDB Journal

Learning users’ preferences is critical to personalized search and recommendation. Most such systems depend on lists of items rank..

Graph clustering in all parameter regimes

Junhao Gan, DF Gleich, N Veldt, Anthony Wirth, Xin Zhang

Conference Proceedings  |  2020  |  Leibniz International Proceedings in Informatics, LIPIcs

Resolution parameters in graph clustering control the size and structure of clusters formed by solving a parametric objective func..

Result-sensitive binary search with noisy information

NS Epa, J Gan, A Wirth

Conference Proceedings  |  2019  |  Leibniz International Proceedings in Informatics, LIPIcs

Preface

L Chang, J Gan, X Cao

Conference Proceedings  |  2019  |  Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Fast Euclidean OPTICS with Bounded Precision in Low Dimensional Space

Junhao Gan, Yufei Tao

Conference Proceedings  |  2018  |  Proceedings / ACM-SIGMOD International Conference on Management of Data. ACM-Sigmod International Conference on Management of Data

OPTICS is a popular method for visualizing multidimensional clusters. All the existing implementations of this method have a time ..