Detailed Program
| Thursday June 12, 2025 | |||||
| Time/Room | Ionic Room (Ground floor) | Tuscan Room (Ground floor) | Composite Room (Ground floor) | Corinthian Room (Ground floor) | Boardroom (Fourth floor) |
| 08:00 - 17:00 | Registration (Ground floor) | ||||
| 09:00 - 10:00 | Keynote (Ionic Room, Ground floor): Prof Qiang Yang Session Chair: Xintao Wu | ||||
| 10:00 - 10:30 | Tea Break (Doric Room, Ground floor) | ||||
| 10:30 - 11:00 | PAKDD Early Career Research Award Talk (Ionic Room, Ground floor): A/Prof Evangelos (Vagelis) Papalexakis | ||||
| 11:00 - 12:30 | Session 4A Clustering and Classification | Session 4B Graph Mining and GNN | Session 4C Recommender Systems | Session 4D Security, Privacy, and Ethics | Session 4E Fairness and Interpretability |
| 12:30 - 13:30 | Lunch Break (Marble Foyer, Level 1) | ||||
| 13:30 - 17:00 | Excursion: Sydney Opera House (Multiple tour sessions, jumping between sessions is not permitted) | ||||
| 18:00 - 21:00 | Banquet (Parliament of New South Wales) | ||||
| Session Name | Paper Information |
| 4A: Clustering and Classification Session Chair: Tai Le Quy | 352 - Sampling Frequent and Diverse Patterns Through Compression François Camelin (IMT Atlantique)*; Samir Loudni (IMT Atlantique); Gilles Pesant (Polytechnique Montréal); Charlotte Truchet (Sorbonne Université) |
| 300 - Gate-ViT: Gated Vision Transformer for Fine-Grained Visual Classification Xiaowei Lu (Xiamen University)*; kanqi wang (Xiamen University); Peiyu Wang (Xiamen University); Qin Zhang (Shenzhen University); Yang Zhao (Xiamen University); Gang Liu (Xiamen University); Xiaohan Yu (Macquarie University) | |
| 318 - LITA: An Efficient LLM-assisted Iterative Topic Augmentation Framework Chia-Hsuan Chang (Yale University )*; Jui-Tse Tsai (National Sun Yat-sen University); Yi-Hang Tsai (National Sun Yat-sen University); San-Yih Hwang (National Sun Yat-sen University) | |
| 136 - Flexible Bivariate Beta Mixture Model: A Probabilistic Approach for Clustering Complex Data Structures yung peng Hsu (National Central University); Hung-Hsuan Chen (National Central University)* | |
| 106 - Dynamical Label Augmentation and Calibration for Noisy Electronic Health Records Yuhao Li (University of Melbourne)*; Ling Luo (University of Melbourne); Uwe Aickelin (The University of Melbourne) | |
| 342 - DCMatch - Identify Matching Architectures in Deep Clustering through Meta-Learning Mamdouh Aljoud (Ludwig Maximilian University of Munich)*; Gabriel Marques Tavares (Ludwig Maximilian University of Munich); Collin Leiber (Aalto University); Thomas Seidl (Ludwig Maximilian University of Munich) | |
| 411 - A Novel Framework for Multi-hop Reasoning via Alternate Entity and Sequence Generation Yong Shang (Qilu University of Technology(Shandong Academy of Sciences))*; Weiyu Zhang (Qilu University of Technology(Shandong Academy of Sciences)); Huiting Li (Qilu University of Technology(Shandong Academy of Sciences)); Yang Liu (Qilu University of Technology(Shandong Academy of Sciences)); Wenpeng Lu (Qilu University of Technology(Shandong Academy of Sciences)) | |
| 722 - EMAWNB: Enhanced multi-view attribute weighted naive Bayes Guanzhi Liu (Zhengzhou University); Kexin Meng (Zhengzhou University); Pei Lv (Zhengzhou University); Huan Zhang (Zhengzhou University)* | |
| 678 - ACTGNN: Assessment of Clustering Tendency with Synthetically-Trained Graph Neural Networks Yiran Luo (University of California, Riverside)*; Evangelos Papalexakis (University of California, Riverside) | |
| 385 - LRTHT: An Efficient Log Clustering Framework Based on Radix Tree and Hash Table yizhen Li (Xi’an Jiaotong University); Qin Tao (School of Computer Science and Technology, Xi’an Jiaotong University. MOE Key Laboratory for Intelligent Networks and Network Security, Xi’an Jiaotong University.)*; Jinzi Zou (Xi’an Jiaotong University); Chenxu Wang (School of Software Engineering, Xi’an Jiaotong University. MOE Key Laboratory for Intelligent Networks and Network Security, Xi’an Jiaotong University.); Yuan-cheng LU (No.15, P.O. Box 15, Lanzhou City, Gansu Province, China) | |
| 4B: Graph Mining and GNN Session Chair: Xin Zheng | 625 - Enhancing Inductive Numerical Reasoning in Knowledge Graphs with Relation-Aware Relative Numeric Encoding Hongjun Jeong (SKKU); Heesoo Jung (SKKU); Gayeong Kim (SKKU); Juann Kim (SKKU); Ko Keun Kim (LG Corporation); Hogun Park (Sungkyunkwan University (SKKU))* |
| 690 - From Persona to Person: Enhancing the Naturalness with Multiple Discourse Relations Graph Learning in Personalized Dialogue Generation Chih-Hao Hsu (National Cheng Kung University); Ying-Jia Lin (National Tsing Hua University)*; Hung-Yu Kao (National Tsing Hua University) | |
| 748 - TiGer: Self-Supervised Purification for Time-evolving Graphs Hyeonsoo Jo (KAIST); Jongha Lee (KAIST); Fanchen Bu (KAIST); Kijung Shin (KAIST)* | |
| 582 - Representing Higher-Order Networks with Spectral Moments Hao Tian (Syracuse University)*; shengmin Jin (Amazon Inc. ); Reza Zafarani (Syracuse University) | |
| 178 - SpecG: A Spectral-based Framework for Effective Graph Pretraining and Knowledge Transfer Zizhe Jin (Griffith University); Yizhen Zheng (Monash University); Linhao Luo (Monash University); Yixin Liu (Griffith University); Xin Zheng (Griffith University); Xuefei Yin (Griffith University); Vincent Lee (Monash University); Shirui Pan (Griffith University)* | |
| 131 - AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification Minjun Kim (Seoul National University)*; Jaehyeon Choi (Seoul National University); SeungJoo Lee (Seoul National University); Jinhong Jung (Soongsil University); U Kang (Seoul National University) | |
| 214 - TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale Kay Liu (University of Illinois Chicago)*; Jiahao Ding (Amazon Web Services); MohamadAli Torkamani (Amazon Web Services); Philip Yu (University of Illinois Chicago) | |
| 316 - CLEAR: Cluster-based Prompt Learning on Heterogeneous Graphs Feiyang Wang (Beijing University of Posts and Telecommunications)*; Zhongbao Zhang (Beijing University of Posts and Telecommunications); Junda Ye (Beijing University of Posts and Telecommunications); Sun Li (North China Electric Power University); Jianzhong Qi (The University of Melbourne) | |
| 261 - Parameter Efficient Tuning for Graph Neural Networks via a Weight Adaptive Module Eunseon Seong (Hanyang University); Dongkyu Chae (Hanyang University)* | |
| 367 - ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning Linhao Luo (Monash University)*; Jiaxin Ju (Griffith University); Bo Xiong (University of Stuttgart); Yuan-Fang Li (Monash University); Reza Haffari (Monash University); Shirui Pan (Griffith University) | |
| 4C: Recommender Systems Session Chair: Xiangmin Zhou | 311 - DART: Diversified and Accurate Long-Tail Recommendation Jeongin Yun (Seoul National University)*; Jaeri Lee (Seoul National University); U Kang (Seoul National University) |
| 285 - Session-based Recommendation with Multi-granularity User Intent and Dual-channel Sparse Graph Attention Networks Pei-Xuan Li (National Cheng Kung University); Chia-Lung Lin (National Cheng Kung University); Hsun-Ping Hsieh (National Cheng Kung University)* | |
| 55 - Next Point-of-Interest Recommendation Algorithm Based on Spatial-Temporal Knowledge Graph and User Dual-Level Preferences Ruoyi Wang (Jilin University); Xu Zhou (Jilin University)* | |
| 6 - Towards Retrieval-Augmented Large Language Model-based Conversational Recommender System dayu yang (University of Delaware)* | |
| 24 - Adaptive and Discriminative Contrastive Learning for Sequential Recommendation Chi Zhou (Zeekr Group); Shaolin Wang (Geely Holding Group)*; haoyang che (Zeekr group); LEI YAO (Zeekr); Chang Tang (Zeekr Group); Ying Gu (Zeekr Group) | |
| 397 - Parallel Graph Convolutional Network for Multi-modal Recommendation Wanru Niu (Dalian University of Technology)*; Yi Li (Dalian University of Technology); Jianfei Liu (Dalian University of Technology); Xin Xie (Dalian University of Technology); Haiyan Fu (Dalian University of Technology); Yanqing Guo (Dalian University of Technology) | |
| 600 - Graph Retrieval-Augmented LLM for Conversational Recommendation System Zhangchi Qiu (Griffith University)*; Linhao Luo (Monash University); zicheng zhao (Nanjing University of Science and Technology); Shirui Pan (Griffith University); Alan Wee-Chung Liew (Griffith University) | |
| 278 - RPDN: An Effective Rating Pollution Attacks Detection Framework for Recommendation Systems Yongrui Gu (Zhejiang Gongshang University); Jianke Yu (University of Technology Sydney); Yongye Li (Zhejiang Gongshang University)*; Peiting Xie (University of New South Wales); Xiaoyang Wang (University of New South Wales); Chen Chen (University of Wollongong) | |
| 4D: Security, Privacy, and Ethics Session Chair: Jiaojiao Jiang | 540 - IDIR: Interpolated Diffusion Image Reconstruction for Generalizable Detection of Synthetic Images Xiaoyu Ding (University of Technology Sydney)*; Weiqi Wang (University of Technology Sydney); Zhiyi Tian (University of Technology Sydney); Shui Yu (University of Technology Sydney) |
| 11 - LiSA: Leveraging Link Recommender to Attack Graph Neural Networks via Subgraph Injection Wenlun Zhang (Keio University); Enyan Dai (The Pennsylvania State University)*; Kentaro Yoshioka (Stanford) | |
| 495 - Adaptive Weight Assignment for Adversarial Training Based on Predicted Class Probabilities Across Different Attacks and Perturbation Sizes Modeste Atsague (Iowa State University)*; Jin Tian (Mohamed bin Zayed University of Artificial Intelligence); Olukorede Fakorede (Iowa State University) | |
| 533 - Enabling Heterogeneous Adversarial Transferability via Feature Permutation Attacks Tao Wu (Missouri University of Science and Technology)*; Tie Luo (University of Kentucky) | |
| 506 - Explanation-based Anonymization Methods for Motion Privacy Thomas Carr (University of North Carolina at Charlotte); Yaxin Zhao (University of North Carolina at Charlotte); Depeng Xu (University of North Carolina at Charlotte)*; Aidong Lu (University of North Carolina at Charlotte) | |
| 747 - Zero-Shot Machine Unlearning Using Generative Adversarial Network Ali Ghazal (Tartu Univeristy); Radwa El Shawi (Tartu University)* | |
| 526 - MarkErase: Defeating Entangled Watermarks in Model Extraction Attacks Leo Zhang (griffith)*; TENG FEI (湘潭大学); XINJING LIU (Xidian University); Yanjun Zhang (University of Technology Sydney); Haizhuan Yuan (Xiangtan University); Tianqing Zhu (City University of Macau) | |
| 740 - Large Language Model and Variational Autoencoder based deep neural framework for Cyber Attack Detection Zhi Liu (Deakin University); Jyotheesh Gaddam (Deakin University); Shuo Huang (Monash University); ISHARA HERATH MUDIYANSELAGE (Deakin University); Ming Liu (Deakin University); Sutharshan Rajasegarar (Deakin University)*; Muneeb Ul Hassan (Deakin University); Luxing Yang (Deakin University); Gang Li (Deakin University); Maia Angelova (Aston University) | |
| 86 - Preventing Sensitive Information Leakage via Post-hoc Orthogonalization with Application to Chest Radiograph Embeddings Tobias Weber (LMU Munich)*; Michael Ingrisch (Department of Radiology, University Hospital, LMU Munich); Bernd Bischl (LMU Munich); David Ruegamer (LMU Munich) | |
| 586 - Source Identification Model Based on Label Propagation and Graph Ordinary Differential Equations Fuyuan Ma (Jilin University); Yuhan Wang (Jilin University); Junhe Zhang (Jilin University); Ying Wang (Jilin University)* | |
| 4E: Fairness and Interpretability Session Chair: Yanjun Zhang | 494 - Fair One-Step Spectral Rotation Clustering via Adaptive Graph Learning Laxita Agrawal (Indian Institute of Technology Guwahati)*; V. Vijaya Saradhi (Indian Institute of Technology Guwahati); Teena Sharma (Indian Institute of Technology Guwahati) |
| 753 - ComFairGNN: Community Fair Graph Neural Network Yonas Sium (Iowa State University)*; Qi Li (Iowa State University) | |
| 258 - Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation Dawon Ahn (University of California, Riverside)*; Jun-Gi Jang (University of Illinois Urbana-Champaign); Evangelos Papalexakis (University of California, Riverside) | |
| 237 - Retraining Gradient Boosting Decision Trees with Backward Compatibility of Explanations Tsukasa Yamakura (Institute of Science Tokyo)*; Yoichi Sasaki (NEC Corporation); Yuzuru Okajima (NEC Corporation); Thiem Van Chu (Institute of Science Tokyo) | |
| 763 - Improving Generalization in Deep Neural Networks by Mitigating Memorization Yong Zhuang (Grand Valley State University); Tianyu Kang (University of Massachusetts Boston); Zhen Lu (University of Massachusetts Boston); Wei Ding (University of Massachusetts Boston); Ping Chen (University of Massachusetts Boston)* | |
| 330 - SEval-Ex: A Statement-Level Framework for Explainable Summarization Evaluation Tanguy HERSERANT (AgroParisTech)*; Vincent Guigue (AgroParisTech) | |
| 733 - Robust Unlearning for Large Language Models Kang Gu (Dartmouth College)*; Md Rafi Ur Rashid (Penn State University); Najrin Sultana (Penn State University); Shagufta Mehnaz (Penn State University) | |
| 372 - JailBench: A Comprehensive Chinese Security Assessment Benchmark for Large Language Models Shuyi Liu (Beijing University of Posts and Telecommunications)*; Simiao Cui (Beijing University of Posts and Telecommunications); Haoran Bu (Beijing University of Posts and Telecommunications); Yu-ming Shang (Beijing University of Posts and Telecommunications); Xi Zhang (Beijing University of Posts and Telecommunications) | |
| 212 - Few-shot Unlearning for Large Language Models through Pretrained Soft Prompts ZEE HEN TANG (Academia Sinica)*; MI-YEN YEH (Academia Sinica) |