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ORCID29th PAKDD 2025: Sydney, NSW, Australia - Part II
- Xintao Wu
, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Yanqiu Wu, Yu Yao, Zhangkai Wu:
Advances in Knowledge Discovery and Data Mining - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, NSW, Australia, June 10-13, 2025, Proceedings, Part II. Lecture Notes in Computer Science 15871, Springer 2025, ISBN 978-981-96-8172-3
Fairness and Interpretability
- Yonas Sium, Qi Li:
ComFairGNN: Community Fair Graph Neural Network. 16-28 - Dawon Ahn, Jun-Gi Jang, Evangelos E. Papalexakis:
Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity Augmentation. 29-41 - Vidhi Rathore, Naresh Manwani:
Achieving Fair PCA Using Joint Eigenvalue Decomposition. 42-54 - Dildar Ali, Suman Banerjee, Shweta Jain, Yamuna Prasad:
Fairness Driven Slot Allocation Problem in Billboard Advertisement. 55-67 - Tsukasa Yamakura, Yoichi Sasaki, Yuzuru Okajima, Thiem Van Chu:
Retraining Gradient Boosting Decision Trees with Backward Compatibility of Explanations. 68-79 - Ahmed R. Elmahalawy, Lin Li, Xiaohua Wu, Xiaohui Tao:
Enhancing Interpretability for Computational Personality Analysis in Education. 80-92 - Yong Zhuang, Tianyu Kang, Zhen Lu, Wei Ding, Ping Chen:
Improving Generalization in Deep Neural Networks by Mitigating Memorization. 93-104
Federated Learning
- Radwa El Shawi:
AgingFedNAS: Aging Evolution Federated Deep Learning for Architecture and Hyperparameter Search. 107-119 - Zikai Dou, Fei Chiang:
Vertical Federated Learning Across Second-Hop Parties. 120-132 - Zhiheng Qiu, Qi Zhong, Mingfeng Qi, Lefeng Zhang:
FedSweep: Unlearning Backdoors in Federated Learning. 133-145 - Zikang Wen, Nan Yang, Yuning Zhang, Yanli Li, Zihao Yao, Huaming Chen, Dong Yuan:
CrossFL: A Cross-Round Federated Learning Framework with Asynchronous Client Selection. 146-158 - Yue Hua, Yi Li, Xin Zheng, Ming Yang, Haiyan Fu, Alan Wee-Chung Liew, Yanqing Guo:
VCC-Fed: A Multi-task Federated Learning Paradigm with Versatile Collaborative Clients. 159-170
Graph Mining and GNN
- Hongjun Jeong, Heesoo Jung, Gayeong Kim, Juann Kim, Ko Keun Kim, Hogun Park:
Enhancing Inductive Numerical Reasoning in Knowledge Graphs with Relation-Aware Relative Numeric Encoding. 173-186 - Chih-Hao Hsu, Ying-Jia Lin, Hung-Yu Kao:
From Persona to Person: Enhancing the Naturalness with Multiple Discourse Relations Graph Learning in Personalized Dialogue Generation. 187-198 - Hyeonsoo Jo, Jongha Lee, Fanchen Bu, Kijung Shin:
TiGer: Self-supervised Purification for Time-Evolving Graphs. 199-210 - Hao Tian, Shengmin Jin, Reza Zafarani:
Representing Higher-Order Networks with Spectral Moments. 211-223 - Zizhe Jin, Yizhen Zheng, Linhao Luo, Yixin Liu, Xin Zheng, Xuefei Yin, Vincent Lee, Shirui Pan:
SpecG: A Spectral-Based Framework for Effective Graph Pretraining and Knowledge Transfer. 224-236 - Minjun Kim, Jaehyeon Choi, Seungjoo Lee, Jinhong Jung, U Kang:
AugWard: Augmentation-Aware Representation Learning for Accurate Graph Classification. 237-250 - Kay Liu, Jiahao Ding, MohamadAli Torkamani, Philip S. Yu:
TGTOD: A Global Temporal Graph Transformer for Outlier Detection at Scale. 251-263 - Feiyang Wang, Zhongbao Zhang, Junda Ye, Li Sun, Jianzhong Qi:
CLEAR: Cluster-Based Prompt Learning on Heterogeneous Graphs. 264-276 - Eunseon Seong, Dong-Kyu Chae:
Parameter Efficient Tuning for Graph Neural Networks via a Weight Adaptive Module. 277-288 - Rucha Bhalchandra Joshi, Sagar Prakash Barad, Nidhi Tiwari, Subhankar Mishra:
Graph Neural Networks at a Fraction. 289-301 - Hassan A. Shafei, Yang Zhao, Christian Martin, Javad M. Alizadeh, Karin M. Eyrich-Garg, Omar Martinez, Ying Ding, Chiu C. Tan, Huanmei Wu, Yuzhou Chen:
Safety and Public Protection: Predicting and Analyzing Incidents with Large Language Model-Based Zigzag Graph Neural Networks. 302-313 - Linhao Luo, Jiaxin Ju, Bo Xiong, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan:
ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning. 314-325
Learning on Scientific Data
- Patrick Soga, Zhenyu Lei, Camille L. Bilodeau, Jundong Li:
Deep Interactions for Multimodal Molecular Property Prediction. 329-341 - Luke Vaughan, Mohammed Rakib, Shivang Patel, Flera Rizatdinova, Alexander Khanov, Arunkumar Bagavathi:
PileUp Mitigation at the HL-LHC Using Attention for Event-Wide Context. 342-353 - Chao Zhang, Pengfei Su, Xiaopei Wu:
An Efficient CNN Network Utilizing Temporal and Spatial Attention Mechanisms for SSVEP Frequency Recognition. 354-365 - Chaofan Li, Till Riedel, Michael Beigl:
Isolating Latent Context Information Enhances Graph Structure Learning for Spatial Interpolation. 366-377 - Ruosi Cheng, Shichang Ding, Liancheng Zhang, Ruixiang Li, Chong Liu, Xiangyang Luo:
DualS-Geo: A Large-Scale Dual-Stack Landmark Mining Framework for IP Geolocation. 378-392 - Haodi Zhang, Yong Ding, Liang-Jie Zhang, Weicheng Wang, Yuanfeng Song, Di Jiang:
Dual Learning Between Molecules and Natural Language. 393-404 - Sarwan Ali, Tamkanat E. Ali, Imdad Ullah Khan, Murray Patterson:
Hilbert Curve Based Molecular Sequence Analysis. 405-417 - Truong Thanh Hung Nguyen, Alireza Rahimi, Veronica Whitford, Hélène Fournier, Irina Kondratova, René Richard, Hung Cao:
Human-Centered Explainable Psychiatric Disorder Diagnosis System Using Wearable ECG Monitors. 418-429 - Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran, David Berlowitz, Mark Howard:
SHIP: A Shapelet-Based Approach for Interpretable Patient-Ventilator Asynchrony Detection. 430-442 - Keyu Shen, Xiaobo Zhang, Yutao Liu, Yan Yang, Xiaole Zhao:
MGPDF: A Multi-modal Gaussian Process Decision-Level Fusion Model for Parkinson's Disease Prediction. 443-455 - Lantian Fu, Ying Li, Xuxue Sun, Zhenning Bao, Yuxin Wen, Yuanyuan Zhang:
MTGlu: A Multi-scale Time-Frequency Approach for Personalized Glucose Prediction in Type 1 Diabetes. 456-468 - Debashis Gupta, Aditi Golder, Sahil Sidheekh, Sakib Imtiaz, Sarra Alaqahtani, Fan Yang, Gregory D. Larsen, Miles R. Silman, Luis E. Fernandez, Robert J. Plemmons, Sriraam Natarajan, V. Paul Pauca:
Scalable Knowledge Graph Construction from Unstructured Text: A Case Study on Artisanal and Small-Scale Gold Mining. 469-481 - Uttam Kumar, Ran Yu, Michael Wenzel, Elena Demidova:
VISOR: VIsual Seizure Onset Detection PeRsonalized for Epilepsy Patients. 482-494
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