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ORCID29th PAKDD 2025: Sydney, NSW, Australia - Part VII
- Xintao Wu
, Myra Spiliopoulou, Can Wang, Vipin Kumar, Longbing Cao, Xiangmin Zhou, Guansong Pang, João Gama:
Data Science: Foundations and Applications - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2025, Sydney, Australia, June 10-13, 2025, Proceedings, Part VII. Lecture Notes in Computer Science 15876, Springer 2025, ISBN 978-981-96-8297-3
Graph Mining
- Haji Gul, Abdul Ghani Naim, Ajaz Ahmad Bhat:
MuCo-KGC: Multi-context-Aware Knowledge Graph Completion. 3-15 - Yujia Wu, Junyi Mo, Elynn Y. Chen, Yuzhou Chen:
Tensor-Fused Multi-view Graph Contrastive Learning. 16-28 - Teng-Yuan Tsou, Pei-Xuan Li, Fandel Lin, Hsun-Ping Hsieh:
FOG: Interpretable Feature-Oriented Graph Neural Networks for Tabular Data Prediction. 29-40 - Siyi Han, Jing Zhou, Xuening Zhu, Zhe Li, Jie Li, Hansheng Wang, Yibing Gong:
High Resolution Image Classification with Rich Text Information Based on Graph Convolution Neural Network. 41-52 - Zekun Xu, Xiaoxue Li, Zhanzuo Yin, Xinyue Liu, Junnan Zhuo, Shuai Xu, Xiao Zhang, Bohan Li:
Time Interval Aware Graph Neural Networks for Session-Based Recommendation. 53-65 - Chunyan Han, Haodong Zhang, Chen Lu, Yuntai Ding, Xingqi Li:
SSGNN: Structure-Aware Scoring Graph Neural Network for Molecular Representation. 66-77 - Wentao Xiao, Yueyang Zhan, Rui Xi, Zhuohan Hou, Jianming Liao, Yufang Sun:
Mint: An Efficient and Robust In-Place Update Approach for Graph-Based Vector Index. 78-90
Machine Learning Applications
- Bisma Ayaz, Xiaoying Gao, Bing Xue:
Advancing Comprehensive Aspect-Based Sentiment Analysis with Generative Models. 93-105 - Chengen Wang, Alvaro A. Cárdenas, Gurcan Comert, Murat Kantarcioglu:
A Systematic Evaluation of Generative Models on Tabular Transportation Data. 106-118 - Kun Feng, Juanjuan Zhao, Kejiang Ye, Xitong Gao:
SDF-Guided Multi-modal Big Data Road Extraction. 119-131 - Pei-Chieh Sung, Hsu-Chao Lai, Ya-Chun Chang, Jhy-Cheng Huang, Jiun-Long Huang:
Player Movement Predictions Using Team and Opponent Dynamics for Doubles Badminton. 132-144
Representation Learning
- Marin Jezidzic, Matej Mihelcic:
Late Fusion Ensembles for Speech Recognition on Diverse Input Audio Representations. 147-158 - Junhao Luo, Yan Zhu, Yiqiang Peng:
Text Enhancement-Based Multimodal Fusion for Video Sentiment Analysis. 159-170 - Jie Dong, Xiaoying Gao, Yi Mei:
Advancing Rubric-Based Automated Essay Scoring with Multi-view BERT: A Case Study in New Zealand. 171-182 - Zhen Chen, Wenzhong Yang, Fuyuan Wei, Zhonghua Wu:
A Script Event Prediction Method Based on Multi-level Joint Pretraining and Prompt Fine-Tuning. 183-194
Scientific/Business Data Analysis
- Nicole Heng Yim Oo, Min Hun Lee, Jeong Hoon Lim:
A Multimodal Fusion Model Leveraging MLP Mixer and Handcrafted Features-Based Deep Learning Networks for Facial Palsy Detection. 197-208 - Santosh Purja Pun, Oliver Obst, Jim Basilakis, Jeewani Anupama Ginige:
Using Pseudo-Synonyms to Generate Embeddings for Clinical Terms. 209-220 - Jiaguan Shen, Weiyu Guo:
Corporate Carbon Emission Prediction: Combining Structured and Unstructured Data. 221-232 - Yue Zhang, Zongxiong Chen, Qian Liu, Sonja Schimmler, Manfred Hauswirth:
GDCK: Efficient Large-Scale Graph Distillation Utilizing a Model-Free Kernelized Approach. 233-245 - Shuqing Si, Ben Cao, Qi Shao, Lijun Sun, Yanfen Zheng, Bin Wang, Pan Zheng:
Efficient DNA Fragment Assembly Based on Discrete Slime Mould Algorithm. 246-258 - Fuyuan Ma, Yuhan Wang, Shixuan Ma, Yongzhen Li, Ying Wang:
Multi-scale Control Model for Network Group Behavior. 259-270 - Chenhan Zhang, Weiqi Wang, Zhiyi Tian, James Jianqiao Yu, Dali Kaafar, An Liu, Shui Yu:
Can Self Supervision Rejuvenate Similarity-Based Link Prediction? 271-283 - Santosh Purja Pun, Oliver Obst, Jim Basilakis, Jeewani Anupama Ginige:
Managing Data Uncertainty in Automatic Mapping of Clinical Classification Systems. 284-295 - Xiaojing Ren, Irena Koprinska, Natalie Astalosh, Stephen McCloskey, Bryn Jeffries:
Insomnia Detection Based on Brain State Sleep Trajectories. 296-308 - Junyi Liu, Tao Wan, Zengchang Qin:
MCA: Multimodal Contrastive Augmentation for Medical Report Generation. 309-321
Special Track on Large Language Models
- Ying Fu Lim, Jiawen Zhu, Guansong Pang:
Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection. 325-337 - Nardine Basta, Conor Atkins, Dali Kaafar:
Bot Wars Evolved: Orchestrating Competing LLMs in a Counterstrike Against Phone Scams. 338-350 - Shuxian Bi, Wenjie Wang, Moxin Li, Chongming Gao, Fuli Feng:
Large Language Models with Multi-faceted Relation Alignment for User Novel Interest Discovery. 351-363 - Takuya Okada, Yoshiaki Takimoto, Takeshi Kurashima, Hiroyuki Toda:
Estimating Impact of Behavior Change Messages Using Large Language Models. 364-375 - Chinh Hoang, Nathan Roberts, Mohammad Rashedul Hasan:
A Meta-thinking Approach to Mitigating Linguistic Sycophancy in Vision-Language Models. 376-388 - Gokul Karthik Kumar, Iheb Chaabane, Kebin Wu:
VisCon-100K: Leveraging Contextual Web Data for Fine-Tuning Vision Language Models. 389-401 - Yiran Luo, Het Patel, Yu Fu, Dawon Ahn, Jia Chen, Yue Dong, Evangelos E. Papalexakis:
TRAWL: Tensor Reduced and Approximated Weights for Large Language Models. 402-413 - Zheyuan Deng, Qiang Sun, Jichunyang Li, Wei Liu:
DAG-Think-Twice: Causal Structure Guided Elicitation of Causal Reasoning in LLMs. 414-425 - Yuze Liu, Tingjie Liu, Tiehua Zhang, Youhua Xia, Jinze Wang, Zhishu Shen, Jiong Jin, Zhijun Ding, Fei Richard Yu:
GRL-Prompt: Towards Prompts Optimization via Graph-Empowered Reinforcement Learning Using LLMs' Feedback. 426-438
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