KDD

Federated Graph Learning with Structure Proxy Alignment

Xingbo Fu, Zihan Chen, Binchi Zhang, Chen Chen, Jundong Li

Comments Accepted by KDD 2024

Meta Knowledge for Retrieval Augmented Large Language Models

Laurent Mombaerts, Terry Ding, Adi Banerjee, Florian Felice, Jonathan Taws, Tarik Borogovac

Comments Accepted in Workshop on Generative AI for Recommender Systems and Personalization, KDD 2024

Black-Box Anomaly Attribution

Tsuyoshi Idé, Naoki Abe

Comments This is an expanded version of Idé et al.,"Anomaly Attribution with Likelihood Compensation,'' AAAI 21. Part of the content has also been presented in Idé and Abe.,"Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution,'' KDD 23. The original version was submitted to a journal on May 8, 2021

QWalkVec: Node Embedding by Quantum Walk

Rei Sato, Shuichiro Haruta, Kazuhiro Saito, Mori Kurokawa

Comments This paper is accepted at 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2024). This paper is a slightly revised version

RC-Mixup: A Data Augmentation Strategy against Noisy Data for Regression Tasks

Seong-Hyeon Hwang, Minsu Kim, Steven Euijong Whang

Comments Accepted to KDD 2024

Adaptive User Journeys in Pharma E-Commerce with Reinforcement Learning: Insights from SwipeRx

Ana Fernández del Río, Michael Brennan Leong, Paulo Saraiva, Ivan Nazarov, Aditya Rastogi, Moiz Hassan, Dexian Tang, África Periáñez

Comments Presented at the Third Workshop on End-to-End Customer Journey Optimization at KDD 2024 (KDD CJ Workshop '24), August 26, Barcelona, Spain

Adaptive Behavioral AI: Reinforcement Learning to Enhance Pharmacy Services

Ana Fernández del Río, Michael Brennan Leong, Paulo Saraiva, Ivan Nazarov, Aditya Rastogi, Moiz Hassan, Dexian Tang, África Periáñez

Comments Presented at The First Workshop on AI Behavioral Science (AIBS'24) at KDD 2024, August 25, Barcelona, Spain

Optimizing HIV Patient Engagement with Reinforcement Learning in Resource-Limited Settings

África Periáñez, Kathrin Schmitz, Lazola Makhupula, Moiz Hassan, Moeti Moleko, Ana Fernández del Río, Ivan Nazarov, Aditya Rastogi, Dexian Tang

Comments Presented at the 7th epiDAMIK ACM SIGKDD International Workshop on Epidemiology meets Data Mining and Knowledge Discovery, August 26, 2024, Barcelona, Spain

ProCom: A Few-shot Targeted Community Detection Algorithm

Xixi Wu, Kaiyu Xiong, Yun Xiong, Xiaoxin He, Yao Zhang, Yizhu Jiao, Jiawei Zhang

Comments Accepted by SIGKDD'2024

Time series forecasting with high stakes: A field study of the air cargo industry

Abhinav Garg, Naman Shukla, Maarten Wormer

Comments The 10th Mining and Learning from Time Series Workshop: From Classical Methods to LLMs. SIGKDD, Barcelona, Spain, 6 page

Contextual Distillation Model for Diversified Recommendation

Fan Li, Xu Si, Shisong Tang, Dingmin Wang, Kunyan Han, Bing Han, Guorui Zhou, Yang Song, Hechang Chen

Comments accepted by KDD 2024 v2

FUGNN: Harmonizing Fairness and Utility in Graph Neural Networks

Renqiang Luo, Huafei Huang, Shuo Yu, Zhuoyang Han, Estrid He, Xiuzhen Zhang, Feng Xia

Comments Accepted in SIGKDD 2024

Conditional Logical Message Passing Transformer for Complex Query Answering

Chongzhi Zhang, Zhiping Peng, Junhao Zheng, Qianli Ma

Comments KDD 2024 Research Track

Fair Column Subset Selection

Antonis Matakos, Bruno Ordozgoiti, Suhas Thejaswi

Comments KDD 2024

Clustering-friendly Representation Learning for Enhancing Salient Features

Toshiyuki Oshima, Kentaro Takagi, Kouta Nakata

Comments 12 pages, 6 figures, 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2024)

Journal ref 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2024, Taipei, Taiwan, May 7-10, 2024, Proceedings, Part I, pp 209-220

Cost-Effective Hallucination Detection for LLMs

Simon Valentin, Jinmiao Fu, Gianluca Detommaso, Shaoyuan Xu, Giovanni Zappella, Bryan Wang

Comments Accepted to GenAI Evaluation Workshop at KDD 2024

Time-Series Foundation Models for Forecasting Soil Moisture Levels in Smart Agriculture

Boje Deforce, Bart Baesens, Estefanía Serral Asensio

Comments 7 pages, accepted at KDD '24 - Fragile Earth Workshop https://openreview.net/forum?id=GZBGhi4JfE

Hierarchical Neural Constructive Solver for Real-world TSP Scenarios

Yong Liang Goh, Zhiguang Cao, Yining Ma, Yanfei Dong, Mohammed Haroon Dupty, Wee Sun Lee

Comments Accepted to KDD 2024

RHiOTS: A Framework for Evaluating Hierarchical Time Series Forecasting Algorithms

Luis Roque, Carlos Soares, Luís Torgo

Comments Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24), August 25--29, 2024, Barcelona, Spain

Television Discourse Decoded: Comprehensive Multimodal Analytics at Scale

Anmol Agarwal, Pratyush Priyadarshi, Shiven Sinha, Shrey Gupta, Hitkul Jangra, Ponnurangam Kumaraguru, Kiran Garimella

Comments KDD 2024 [Updates for Camera Ready version]

Can Reinforcement Learning Unlock the Hidden Dangers in Aligned Large Language Models?

Mohammad Bahrami Karkevandi, Nishant Vishwamitra, Peyman Najafirad

Comments Accepted to AI4CYBER - KDD 2024

LLaSA: Large Language and E-Commerce Shopping Assistant

Shuo Zhang, Boci Peng, Xinping Zhao, Boren Hu, Yun Zhu, Yanjia Zeng, Xuming Hu

Comments Accepted by KDD 2024 Workshop (Oral)

Class-incremental Learning for Time Series: Benchmark and Evaluation

Zhongzheng Qiao, Quang Pham, Zhen Cao, Hoang H Le, P. N. Suganthan, Xudong Jiang, Ramasamy Savitha

Comments Accepted by SIGKDD 2024 (ADS track). Codes available at https://github.com/zqiao11/TSCIL

VecAug: Unveiling Camouflaged Frauds with Cohort Augmentation for Enhanced Detection

Fei Xiao, Shaofeng Cai, Gang Chen, H. V. Jagadish, Beng Chin Ooi, Meihui Zhang

Comments Accepted by KDD 2024

Neural Retrievers are Biased Towards LLM-Generated Content

Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu

Comments KDD 2024

AI Safety in Practice: Enhancing Adversarial Robustness in Multimodal Image Captioning

Maisha Binte Rashid, Pablo Rivas

Comments Accepted into KDD 2024 workshop on Ethical AI

Medfluencer: A Network Representation of Medical Influencers' Identities and Discourse on Social Media

Zhijin Guo, Edwin Simpson, Roberta Bernardi

Comments ACM SIGKDD 2024 Workshop epiDAMIK 2024: The 7th International Workshop on Epidemiology meets Data Mining and Knowledge Discovery

Industrial-Grade Smart Troubleshooting through Causal Technical Language Processing: a Proof of Concept

Alexandre Trilla, Ossee Yiboe, Nenad Mijatovic, Jordi Vitrià

Comments 2nd Workshop on Causal Inference and Machine Learning in Practice at the KDD 2024 Conference. arXiv admin note: text overlap with arXiv:2407.11056

NudgeRank: Digital Algorithmic Nudging for Personalized Health

Jodi Chiam, Aloysius Lim, Ankur Teredesai

Comments To be published in Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24)

Learning the Covariance of Treatment Effects Across Many Weak Experiments

Aurélien Bibaut, Winston Chou, Simon Ejdemyr, Nathan Kallus

Comments Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining