Table of Contents

• ComFairGNN: Community Fair Graph Neural NetworkYonas Sium, Qi Li 0012. 16-28 [doi]
• Improving Group Fairness in Tensor Completion via Imbalance Mitigating Entity AugmentationDawon Ahn, Jun-Gi Jang, Evangelos E. Papalexakis. 29-41 [doi]
• Achieving Fair PCA Using Joint Eigenvalue DecompositionVidhi Rathore, Naresh Manwani. 42-54 [doi]
• Fairness Driven Slot Allocation Problem in Billboard AdvertisementDildar Ali, Suman Banerjee 0002, Shweta Jain 0002, Yamuna Prasad. 55-67 [doi]
• Retraining Gradient Boosting Decision Trees with Backward Compatibility of ExplanationsTsukasa Yamakura, Yoichi Sasaki 0002, Yuzuru Okajima, Thiem Van Chu. 68-79 [doi]
• Enhancing Interpretability for Computational Personality Analysis in EducationAhmed R. Elmahalawy, Lin Li 0001, Xiaohua Wu, Xiaohui Tao 0001. 80-92 [doi]
• Improving Generalization in Deep Neural Networks by Mitigating MemorizationYong Zhuang, Tianyu Kang, Zhen Lu, Wei Ding 0003, Ping Chen 0001. 93-104 [doi]
• AgingFedNAS: Aging Evolution Federated Deep Learning for Architecture and Hyperparameter SearchRadwa El Shawi. 107-119 [doi]
• Vertical Federated Learning Across Second-Hop PartiesZikai Dou, Fei Chiang. 120-132 [doi]
• FedSweep: Unlearning Backdoors in Federated LearningZhiheng Qiu, Qi Zhong, Mingfeng Qi, Lefeng Zhang. 133-145 [doi]
• CrossFL: A Cross-Round Federated Learning Framework with Asynchronous Client SelectionZikang Wen, Nan Yang, Yuning Zhang, Yanli Li, Zihao Yao, Huaming Chen, Dong Yuan 0001. 146-158 [doi]
• VCC-Fed: A Multi-task Federated Learning Paradigm with Versatile Collaborative ClientsYue Hua, Yi Li 0008, Xin Zheng, Ming Yang, Haiyan Fu, Alan Wee-Chung Liew, Yanqing Guo. 159-170 [doi]
• Enhancing Inductive Numerical Reasoning in Knowledge Graphs with Relation-Aware Relative Numeric EncodingHongjun Jeong, Heesoo Jung, Gayeong Kim, Juann Kim, Ko Keun Kim, Hogun Park. 173-186 [doi]
• From Persona to Person: Enhancing the Naturalness with Multiple Discourse Relations Graph Learning in Personalized Dialogue GenerationChih-Hao Hsu, Ying-Jia Lin, Hung-Yu Kao. 187-198 [doi]
• TiGer: Self-supervised Purification for Time-Evolving GraphsHyeonsoo Jo, Jongha Lee, Fanchen Bu, Kijung Shin. 199-210 [doi]
• Representing Higher-Order Networks with Spectral MomentsHao Tian, Shengmin Jin, Reza Zafarani. 211-223 [doi]
• SpecG: A Spectral-Based Framework for Effective Graph Pretraining and Knowledge TransferZizhe Jin, Yizhen Zheng, Linhao Luo, Yixin Liu 0001, Xin Zheng, Xuefei Yin, Vincent Lee, Shirui Pan. 224-236 [doi]
• AugWard: Augmentation-Aware Representation Learning for Accurate Graph ClassificationMinjun Kim 0010, Jaehyeon Choi, Seungjoo Lee, Jinhong Jung, U Kang. 237-250 [doi]
• TGTOD: A Global Temporal Graph Transformer for Outlier Detection at ScaleKay Liu, Jiahao Ding, MohamadAli Torkamani, Philip S. Yu. 251-263 [doi]
• CLEAR: Cluster-Based Prompt Learning on Heterogeneous GraphsFeiyang Wang, Zhongbao Zhang, Junda Ye, Li Sun 0008, Jianzhong Qi 0004. 264-276 [doi]
• Parameter Efficient Tuning for Graph Neural Networks via a Weight Adaptive ModuleEunseon Seong, Dong-Kyu Chae. 277-288 [doi]
• Graph Neural Networks at a FractionRucha Bhalchandra Joshi, Sagar Prakash Barad, Nidhi Tiwari, Subhankar Mishra. 289-301 [doi]
• Safety and Public Protection: Predicting and Analyzing Incidents with Large Language Model-Based Zigzag Graph Neural NetworksHassan A. Shafei, Yang Zhao, Christian Martin, Javad M. Alizadeh, Karin M. Eyrich-Garg, Omar Martinez, Ying Ding, Chiu C. Tan, Huanmei Wu, Yuzhou Chen. 302-313 [doi]
• ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph ReasoningLinhao Luo, Jiaxin Ju, Bo Xiong, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan. 314-325 [doi]
• Deep Interactions for Multimodal Molecular Property PredictionPatrick Soga, Zhenyu Lei 0004, Camille L. Bilodeau, Jundong Li. 329-341 [doi]
• PileUp Mitigation at the HL-LHC Using Attention for Event-Wide ContextLuke Vaughan, Mohammed Rakib, Shivang Patel, Flera Rizatdinova, Alexander Khanov, Arunkumar Bagavathi. 342-353 [doi]
• An Efficient CNN Network Utilizing Temporal and Spatial Attention Mechanisms for SSVEP Frequency RecognitionChao Zhang, Pengfei Su, Xiaopei Wu. 354-365 [doi]
• Isolating Latent Context Information Enhances Graph Structure Learning for Spatial InterpolationChaofan Li, Till Riedel, Michael Beigl. 366-377 [doi]
• DualS-Geo: A Large-Scale Dual-Stack Landmark Mining Framework for IP GeolocationRuosi Cheng, Shichang Ding, Liancheng Zhang, Ruixiang Li, Chong Liu, Xiangyang Luo. 378-392 [doi]
• Dual Learning Between Molecules and Natural LanguageHaodi Zhang, Yong Ding, Liang-Jie Zhang, Weicheng Wang, Yuanfeng Song, Di Jiang. 393-404 [doi]
• Hilbert Curve Based Molecular Sequence AnalysisSarwan Ali, Tamkanat E. Ali, Imdad Ullah Khan, Murray Patterson. 405-417 [doi]
• Human-Centered Explainable Psychiatric Disorder Diagnosis System Using Wearable ECG MonitorsTruong Thanh Hung Nguyen, Alireza Rahimi, Veronica Whitford, Hélène Fournier, Irina Kondratova, René Richard, Hung Cao. 418-429 [doi]
• SHIP: A Shapelet-Based Approach for Interpretable Patient-Ventilator Asynchrony DetectionXuan-May Le, Ling Luo 0002, Uwe Aickelin, Minh Tuan Tran, David Berlowitz, Mark Howard. 430-442 [doi]
• MGPDF: A Multi-modal Gaussian Process Decision-Level Fusion Model for Parkinson's Disease PredictionKeyu Shen, Xiaobo Zhang, Yutao Liu, Yan Yang 0001, Xiaole Zhao. 443-455 [doi]
• MTGlu: A Multi-scale Time-Frequency Approach for Personalized Glucose Prediction in Type 1 DiabetesLantian Fu, Ying Li, Xuxue Sun, Zhenning Bao, Yuxin Wen, Yuanyuan Zhang. 456-468 [doi]
• Scalable Knowledge Graph Construction from Unstructured Text: A Case Study on Artisanal and Small-Scale Gold MiningDebashis Gupta, Aditi Golder, Sahil Sidheekh, Sakib Imtiaz, Sarra Alaqahtani, Fan Yang 0023, Gregory D. Larsen, Miles R. Silman, Luis Fernendez, Robert J. Plemmons, Sriraam Natarajan, V. Paul Pauca. 469-481 [doi]
• VISOR: VIsual Seizure Onset Detection PeRsonalized for Epilepsy PatientsUttam Kumar 0002, Ran Yu 0001, Michael Wenzel, Elena Demidova. 482-494 [doi]
• A tool and a methodology to use macros for abstracting variations in code for different computational demandsAnshu Dubey, Y. Lee, Tom Klosterman, E. Vatai. 106937 [doi]