Dandan LIN

Selected Publications

^# and ^* denote the co-first authors and corresponding author, respectively.

^o denotes that the author supervises the paper.

For full publications, please visit my Google Scholar.

Wenfei Fan, Kehang Pang, Dandan Lin^*: OpenMind: Query-Time Diversification via Logical Rules; The 53rd International Conference on Very Large Data Bases (VLDB), Athens, Greece on August 23 - 27, 2027

Kehang Pang, Wenfei Fan, Min Xie, Dandan Lin: Explaining GNN Negatives Globally and Locally; The 42nd IEEE International Conference on Data Engineering (ICDE), Montréal, Canada on May 4-8, 2026

Qiwei Wang^#, Dandan Lin^#, Wenqing Lin^*, Ziming Wu: FROG: Effective Friend Recommendation in Online Games via Modality-aware User Preferences; The 48th International ACM SIGIR Conference On Research and Development in Information Retrieval (SIGIR), Padua, Italy on July 13-17, 2025

Wenfei Fan, Lihang Fan, Dandan Lin^*, Min Xie: Explaining GNN-based Recommendations in Logic; The 51st International Conference on Very Large Data Bases (VLDB), London, UK on September 1-5, 2025

Quan Li, Yun Tian, Xiyuan Wang, Laixin Xie, Dandan Lin, Lingling Yi, Xiaojuan Ma: MetapathVis: Inspecting the Effect of Metapath in Heterogeneous Network Embedding via Visual Analytics; Computer Graphics Forum (CGF), 2025

Xing Huang, Dandan Lin^o, Weiyi Huang, Shijie Sun, Jie Wen, Chuan Chen: PlatoD2GL: An Efficient Dynamic Deep Graph Learning System for Graph Neural Network Training on Billion-Scale Graphs; The 40th IEEE International Conference on Data Engineering (ICDE), Utrecht, Netherlands on May 13-16, 2024

Qintian Guo^#, Dandan Lin^#^*, Sibo Wang, Raymond Chi-Wing Wong, Wenqing Lin: Efficient Algorithms for Group Hitting Probability Queries on Large Graphs; IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024

Jiawei Zheng, Hao Gu, Chonggang Song, Dandan Lin, Lingling Yi, and Chuan Chen: Dual Interests-Aligned Graph Auto-Encoders for Cross-domain Recommendation in WeChat; Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM), Birmingham, United Kingdom on Oct. 21 - 25, 2023

Dandan Lin, Victor Junqiu Wei^*, and Raymond Chi-Wing Wong^o: Effective and Scalable Manifold Ranking-based Image Retrieval with Output Bound; ACM Transactions on Knowledge Discovery from Data (TKDD), pp1-31, Vol. 17, No. 5, April 2023

Dandan Lin, Shijie Sun, Jingtao Ding^*, Xuehan Ke, Hao Gu, Xing Huang, Chonggang Song, Xuri Zhang, Lingling Yi, Jie Wen, and Chuan Chen: PlatoGL: Effective and Scalable Deep Graph Learning System for Graph-enhanced Real-Time Recommendation; The Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM), Atlanta, GA, USA, 2022

Yong Gao, Huifeng Guo, Dandan Lin, Yingxue Zhang, et al.: Content Filtering Enriched GNN Framework for News Recommendation; arXiv preprint arXiv:2110.12681, 2021

Dandan Lin, Raymond Chi-Wing Wong^o, Min Xie, and Victor Junqiu Wei: Index-Free Approach with Theoretical Guarantee for Efficient Random Walk with Restart Query; The 36th IEEE International Conference on Data Engineering (ICDE), Dallas, Texas, USA on April 20-24, 2020; (Acceptance = 129/662 = 19.49%)

Dandan Lin, Victor Junqiu Wei, and Raymond Chi-Wing Wong^o: First Index-Free Manifold Ranking-based Image Retrieval with Output Bound; The 19th IEEE International Conference on Data Mining (ICDM), Beijing, China on November 8-11, 2019; (Acceptance = 194/1046 = 18.55%)