KDD

UIPC-MF: User-Item Prototype Connection Matrix Factorization for Explainable Collaborative Filtering

Lei Pan, Von-Wun Soo

Journal ref Advances in Knowledge Discovery and Data Mining. PAKDD 2024. Lecture Notes in Computer Science(), vol 14649. Springer, Singapore

Graph Neural Network Approach to Semantic Type Detection in Tables

Ehsan Hoseinzade, Ke Wang

Journal ref In Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 121-133. Singapore: Springer Nature Singapore, 2024

Hierarchical Self Attention Based Autoencoder for Open-Set Human Activity Recognition

M Tanjid Hasan Tonmoy, Saif Mahmud, A K M Mahbubur Rahman, M Ashraful Amin, Amin Ahsan Ali

Comments Accepted for publication in 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD-2021)

DoubleAdapt: A Meta-learning Approach to Incremental Learning for Stock Trend Forecasting

Lifan Zhao, Shuming Kong, Yanyan Shen

Comments Accepted by KDD 2023. Code is at https://github.com/SJTU-Quant/qlib

Evaluating Terrain-Dependent Performance for Martian Frost Detection in Visible Satellite Observations

Gary Doran, Serina Diniega, Steven Lu, Mark Wronkiewicz, Kiri L. Wagstaff

Comments This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in: SIGKDD DeepSpatial '22, August 15, 2022, Washington, DC

End-to-end multi-modal product matching in fashion e-commerce

Sándor Tóth, Stephen Wilson, Alexia Tsoukara, Enric Moreu, Anton Masalovich, Lars Roemheld

Comments 9 pages, submitted to SIGKDD

Boosting Multitask Learning on Graphs through Higher-Order Task Affinities

Dongyue Li, Haotian Ju, Aneesh Sharma, Hongyang R. Zhang

Comments 16 pages. Appeared in KDD 2023

Automatic Question-Answer Generation for Long-Tail Knowledge

Rohan Kumar, Youngmin Kim, Sunitha Ravi, Haitian Sun, Christos Faloutsos, Ruslan Salakhutdinov, Minji Yoon

Comments Accepted at KDD 2023 KnowledgeNLP

Uncovering Customer Issues through Topological Natural Language Analysis

Shu-Ting Pi, Sidarth Srinivasan, Yuying Zhu, Michael Yang, Qun Liu

Comments Accepted in KDD 2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces

Mobilkit: A Python Toolkit for Urban Resilience and Disaster Risk Management Analytics using High Frequency Human Mobility Data

Enrico Ubaldi, Takahiro Yabe, Nicholas K. W. Jones, Maham Faisal Khan, Satish V. Ukkusuri, Riccardo Di Clemente, Emanuele Strano

Comments 3 pages, 1 figure, KDD KDD Workshop on Data-driven Humanitarian Mapping, 27th ACM SIGKDD Conference

Journal ref Journal of Open Source Software, 9(95), 5201, 2024

MFBE: Leveraging Multi-Field Information of FAQs for Efficient Dense Retrieval

Debopriyo Banerjee, Mausam Jain, Ashish Kulkarni

Comments The first two authors contributed equally to this work. 12 pages, 3 figures, 5 tables. Accepted at the 2023 Pacific-Asia Conference On Knowledge Discovery And Data Mining (PAKDD)

Unmasking Dementia Detection by Masking Input Gradients: A JSM Approach to Model Interpretability and Precision

Yasmine Mustafa, Tie Luo

Comments 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2024, Taiwan

Adversarial-Robust Transfer Learning for Medical Imaging via Domain Assimilation

Xiaohui Chen, Tie Luo

Comments 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), May 2024, Taiwan

Teacher-Student Learning on Complexity in Intelligent Routing

Shu-Ting Pi, Michael Yang, Yuying Zhu, Qun Liu

Comments KDD 2023 Workshop on End-End Customer Journey Optimization

Contact Complexity in Customer Service

Shu-Ting Pi, Michael Yang, Qun Liu

Comments Accepted in KDD 2023 Workshop on Decision Intelligence and Analytics for Online Marketplaces

Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness

Chen Zhao, Feng Mi, Xintao Wu, Kai Jiang, Latifur Khan, Feng Chen

Comments Accepted by TKDD, extended from KDD 2022. arXiv admin note: substantial text overlap with arXiv:2205.11264

SpeCrawler: Generating OpenAPI Specifications from API Documentation Using Large Language Models

Koren Lazar, Matan Vetzler, Guy Uziel, David Boaz, Esther Goldbraich, David Amid, Ateret Anaby-Tavor

Comments Under Review for KDD 2024

Towards Cohesion-Fairness Harmony: Contrastive Regularization in Individual Fair Graph Clustering

Siamak Ghodsi, Seyed Amjad Seyedi, Eirini Ntoutsi

Comments To be published in "The 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024)"

A Universal Non-Parametric Approach For Improved Molecular Sequence Analysis

Sarwan Ali, Tamkanat E Ali, Prakash Chourasia, Murray Patterson

Comments Accepted at The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2024

Video Annotator: A framework for efficiently building video classifiers using vision-language models and active learning

Amir Ziai, Aneesh Vartakavi

Comments Submitted for review to KDD '24 (ADS Track)

Time Series Supplier Allocation via Deep Black-Litterman Model

Jiayuan Luo, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Dingyi Zhuang, Hao Chen, Xinke Jiang

Comments In submission to SIGKDD 2024

HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline

Yang Li, Xinyan Chen, Wenxuan Guo, Xijun Li, Wanqian Luo, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Junchi Yan

Comments Published at SIGKDD 2023, see http://dl.acm.org/doi/10.1145/3580305.3599837

Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids

Carmelo Ardito, Yashar Deldjoo, Tommaso Di Noia, Eugenio Di Sciascio, Fatemeh Nazary, Giovanni Servedio

Comments Accepted in AdvML@KDD'22

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs

Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang

Comments To be appear on SIGKDD Explorations

GroupMixNorm Layer for Learning Fair Models

Anubha Pandey, Aditi Rai, Maneet Singh, Deepak Bhatt, Tanmoy Bhowmik

Comments 12 pages, 6 figures, Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2023

Leveraged Mel spectrograms using Harmonic and Percussive Components in Speech Emotion Recognition

David Hason Rudd, Huan Huo, Guandong Xu

Comments 12 pages

Journal ref Advances in Knowledge Discovery and Data Mining. PAKDD 2022. Lecture Notes in Computer Science(), vol 13281. Springer, Cham

An Extended Variational Mode Decomposition Algorithm Developed Speech Emotion Recognition Performance

David Hason Rudd, Huan Huo, Guandong Xu

Comments 12 pages

Journal ref Advances in Knowledge Discovery and Data Mining. PAKDD 2023. Lecture Notes in Computer Science(), vol 13937. Springer, Cham

All in One: Multi-task Prompting for Graph Neural Networks

Xiangguo Sun, Hong Cheng, Jia Li, Bo Liu, Jihong Guan

Comments KDD 23 Best Research Paper Award, which is the first for Hong Kong and Mainland China. A Python Library is released as ProG: https://github.com/sheldonresearch/ProG Submitted to SIGKDD'23 in 03 Feb 2023; Receive Acceptance in 17 May 2023 (Rating 3 4 4 4); Submit to arXiv 1st time in 4 Jul 2023

TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting

Vijay Ekambaram, Arindam Jati, Nam Nguyen, Phanwadee Sinthong, Jayant Kalagnanam

Comments Accepted in the Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 23), Research Track. Delayed release in arXiv to comply with the conference policies on the double-blind review process. This paper has been submitted to the KDD peer-review process on Feb 02, 2023

Discovering Dynamic Causal Space for DAG Structure Learning

Fangfu Liu, Wenchang Ma, An Zhang, Xiang Wang, Yueqi Duan, Tat-Seng Chua

Comments Accepted by KDD 2023. Our codes are available at https://github.com/liuff19/CASPER