KDD

FLAIM: AIM-based Synthetic Data Generation in the Federated Setting

Samuel Maddock, Graham Cormode, Carsten Maple

Comments Accepted to KDD 2024

Towards Split Learning-based Privacy-Preserving Record Linkage

Michail Zervas, Alexandros Karakasidis

Journal ref KDD Undergraduate Consortium 2024

A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning

Ye Yuan, Chengwu Liu, Jingyang Yuan, Gongbo Sun, Siqi Li, Ming Zhang

Comments Technical report for 3rd prize in Task 1 of Meta CRAG KDD Cup 2024

Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting

Zheng Dong, Renhe Jiang, Haotian Gao, Hangchen Liu, Jinliang Deng, Qingsong Wen, Xuan Song

Comments Published in KDD'24 Research Track

Brant-X: A Unified Physiological Signal Alignment Framework

Daoze Zhang, Zhizhang Yuan, Junru Chen, Kerui Chen, Yang Yang

Comments Accepted by SIGKDD 2024

Journal ref SIGKDD 2024

Uncertainty-aware segmentation for rainfall prediction post processing

Simone Monaco, Luca Monaco, Daniele Apiletti

Comments Paper accepted at the 3rd Workshop on Uncertainty Reasoning and Quantification in Decision Making at ACM SIGKDD'24 (August 26, 2024, Barcelona)

Towards Infusing Auxiliary Knowledge for Distracted Driver Detection

Ishwar B Balappanawar, Ashmit Chamoli, Ruwan Wickramarachchi, Aditya Mishra, Ponnurangam Kumaraguru, Amit P. Sheth

Comments Accepted at KiL 2024: Workshop on Knowledge-infused Learning co-located with 30th ACM KDD Conference

Efficient Topology-aware Data Augmentation for High-Degree Graph Neural Networks

Yurui Lai, Xiaoyang Lin, Renchi Yang, Hongtao Wang

Comments This is the technical report for the paper accepted to KDD 2024. 16 pages

WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation Integrating Web Search and Knowledge Graphs

Weijian Xie, Xuefeng Liang, Yuhui Liu, Kaihua Ni, Hong Cheng, Zetian Hu

Comments 8 pages, 2 figures, technical report for 3rd place in Task 3 of Meta KDD Cup 2024 CRAG Challenge

Using LLMs for Explaining Sets of Counterfactual Examples to Final Users

Arturo Fredes, Jordi Vitria

Comments Presented as a poster in the 2nd Workshop on Causal Inference and Machine Learning in Practice at KDD 2024

Agentic Retrieval-Augmented Generation for Time Series Analysis

Chidaksh Ravuru, Sagar Srinivas Sakhinana, Venkataramana Runkana

Comments Paper was accepted for Undergraduate Consortium at ACM KDD, 2024. Please find the link: https://kdd2024.kdd.org/undergraduate-consortium/

From Variability to Stability: Advancing RecSys Benchmarking Practices

Valeriy Shevchenko, Nikita Belousov, Alexey Vasilev, Vladimir Zholobov, Artyom Sosedka, Natalia Semenova, Anna Volodkevich, Andrey Savchenko, Alexey Zaytsev

Comments 8 pages with 11 figures

Journal ref KDD 2024: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network

Weijia Zhang, Le Zhang, Jindong Han, Hao Liu, Yanjie Fu, Jingbo Zhou, Yu Mei, Hui Xiong

Comments This work is published in the research track of KDD 2024

LogParser-LLM: Advancing Efficient Log Parsing with Large Language Models

Aoxiao Zhong, Dengyao Mo, Guiyang Liu, Jinbu Liu, Qingda Lu, Qi Zhou, Jiesheng Wu, Quanzheng Li, Qingsong Wen

Comments Accepted by ACM KDD 2024

Explanatory Model Monitoring to Understand the Effects of Feature Shifts on Performance

Thomas Decker, Alexander Koebler, Michael Lebacher, Ingo Thon, Volker Tresp, Florian Buettner

Comments ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 24)

Retrieval-Augmented Generation Meets Data-Driven Tabula Rasa Approach for Temporal Knowledge Graph Forecasting

Geethan Sannidhi, Sagar Srinivas Sakhinana, Venkataramana Runkana

Comments Paper was accepted at ACM KDD -2024 -- Undergraduate Consortium. Please find the link: https://kdd2024.kdd.org/undergraduate-consortium/

EmoLLMs: A Series of Emotional Large Language Models and Annotation Tools for Comprehensive Affective Analysis

Zhiwei Liu, Kailai Yang, Tianlin Zhang, Qianqian Xie, Sophia Ananiadou

Comments Accepted by KDD 2024

Fast Unsupervised Deep Outlier Model Selection with Hypernetworks

Xueying Ding, Yue Zhao, Leman Akoglu

Comments 12 pages, 7 figures, accepted at KDD 2024

Causal Estimation of Exposure Shifts with Neural Networks

Mauricio Tec, Kevin Josey, Oladimeji Mudele, Francesca Dominici

Comments 12 pages, 5 figures, 1 table

Journal ref ACM KDD 2024

Valuing an Engagement Surface using a Large Scale Dynamic Causal Model

Abhimanyu Mukerji, Sushant More, Ashwin Viswanathan Kannan, Lakshmi Ravi, Hua Chen, Naman Kohli, Chris Khawand, Dinesh Mandalapu

Comments 10 pages, 5 figures. Accepted at Applied Data Science track of KDD 2024, Barcelona, Spain

On Early Detection of Hallucinations in Factual Question Answering

Ben Snyder, Marius Moisescu, Muhammad Bilal Zafar

Comments KDD 2024

Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era

Sunhao Dai, Chen Xu, Shicheng Xu, Liang Pang, Zhenhua Dong, Jun Xu

Comments KDD 2024 Tutorial&Survey; Tutorial Website: https://llm-ir-bias-fairness.github.io/

Reconciling Methodological Paradigms: Employing Large Language Models as Novice Qualitative Research Assistants in Talent Management Research

Sreyoshi Bhaduri, Satya Kapoor, Alex Gil, Anshul Mittal, Rutu Mulkar

Comments Accepted to KDD '24 workshop on Talent Management and Computing (TMC 2024). 9 pages

Investigating Context Effects in Similarity Judgements in Large Language Models

Sagar Uprety, Amit Kumar Jaiswal, Haiming Liu, Dawei Song

Comments Accepted at The First Workshop on AI Behavioral Science (AIBS 2024), held in conjunction with KDD 2024

Text-Driven Neural Collaborative Filtering Model for Paper Source Tracing

Aobo Xu, Bingyu Chang, Qingpeng Liu, Ling Jian

Comments KDD CUP 2024 OAG-Challenges, Paper Source Tracing, Technical Report of Team AoboSama @ KDD CUP 2024. August 25--29, 2024. Barcelona, Spain

Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks

Jiaying Wu, Jiafeng Guo, Bryan Hooi

Comments Accepted to KDD 2024 (Research Track)

A Population-to-individual Tuning Framework for Adapting Pretrained LM to On-device User Intent Prediction

Jiahui Gong, Jingtao Ding, Fanjin Meng, Guilong Chen, Hong Chen, Shen Zhao, Haisheng Lu, Yong Li

Comments accepted by KDD 2024

Revisiting Reciprocal Recommender Systems: Metrics, Formulation, and Method

Chen Yang, Sunhao Dai, Yupeng Hou, Wayne Xin Zhao, Jun Xu, Yang Song, Hengshu Zhu

Comments KDD 2024

Dynamic Neural Dowker Network: Approximating Persistent Homology in Dynamic Directed Graphs

Hao Li, Hao Jiang, Jiajun Fan, Dongsheng Ye, Liang Du

Comments KDD 2024

What should I wear to a party in a Greek taverna? Evaluation for Conversational Agents in the Fashion Domain

Antonis Maronikolakis, Ana Peleteiro Ramallo, Weiwei Cheng, Thomas Kober

Comments Accepted at KDD workshop on Evaluation and Trustworthiness of Generative AI Models