KDD

Explainability of Highly Associated Fuzzy Churn Patterns in Binary Classification

D. Y. C. Wang, Lars Arne Jordanger, Jerry Chun-Wei Lin

Comments 18 pages single columns, 4 figures, This paper is an extended version of a work originally presented at the 6th International Workshop on Utility-Driven Mining and Learning (held in conjunction with the 28th Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2024) on May 7, 2024

Path-based Explanation for Knowledge Graph Completion

Heng Chang, Jiangnan Ye, Alejo Lopez Avila, Jinhua Du, Jia Li

Comments Accepted by KDD 2024

Abnormality Forecasting: Time Series Anomaly Prediction via Future Context Modeling

Sinong Zhao, Wenrui Wang, Hongzuo Xu, Zhaoyang Yu, Qingsong Wen, Gang Wang, xiaoguang Liu, Guansong Pang

Comments 11 pages, 5 figures, submitted to KDD conference

Advancing Academic Knowledge Retrieval via LLM-enhanced Representation Similarity Fusion

Wei Dai, Peng Fu, Chunjing Gan

Comments The 2nd Place of KDD Cup 2024 OAG-Challenge AQA

Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know", and Reducing Hallucination in RAG

Xinxi Chen, Li Wang, Wei Wu, Qi Tang, Yiyao Liu

Journal ref 2024 KDD Cup Workshop for Retrieval Augmented Generation at the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

AutoWebGLM: A Large Language Model-based Web Navigating Agent

Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Hao Yu, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, Jie Tang

Comments Accepted to KDD 2024

AIGB: Generative Auto-bidding via Conditional Diffusion Modeling

Jiayan Guo, Yusen Huo, Zhilin Zhang, Tianyu Wang, Chuan Yu, Jian Xu, Yan Zhang, Bo Zheng

Comments Accepted by KDD 2024

Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers

Chanyoung Chung, Jaejun Lee, Joyce Jiyoung Whang

Comments 11 pages, 5 figures, 12 tables. 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2023). This version includes updated results after fixing a bug

A Deep Learning Approach for Imbalanced Tabular Data in Advertiser Prospecting: A Case of Direct Mail Prospecting

Sadegh Farhang, William Hayes, Nick Murphy, Jonathan Neddenriep, Nicholas Tyris

Comments Third KDD Workshop on End-to-End Customer Journey Optimization

AgriLLM: Harnessing Transformers for Farmer Queries

Krish Didwania, Pratinav Seth, Aditya Kasliwal, Amit Agarwal

Comments Accepted at the 3rd Workshop on NLP for Positive Impact @ EMNLP . Also Accepted at Undergraduate Consortium at KDD 2024 (KDD-UC)

Inference Optimization of Foundation Models on AI Accelerators

Youngsuk Park, Kailash Budhathoki, Liangfu Chen, Jonas Kübler, Jiaji Huang, Matthäus Kleindessner, Jun Huan, Volkan Cevher, Yida Wang, George Karypis

Comments [v2] Tutorial website added [v1] Tutorial published at KDD 2024. Camera-ready version

CHILI: Chemically-Informed Large-scale Inorganic Nanomaterials Dataset for Advancing Graph Machine Learning

Ulrik Friis-Jensen, Frederik L. Johansen, Andy S. Anker, Erik B. Dam, Kirsten M. Ø. Jensen, Raghavendra Selvan

Comments 16 pages, 15 figures, 8 tables. Dataset is available at https://github.com/UlrikFriisJensen/CHILI

Journal ref KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2024

Meta Clustering of Neural Bandits

Yikun Ban, Yunzhe Qi, Tianxin Wei, Lihui Liu, Jingrui He

Comments Accepted by KDD 2024

Mining GIS Data to Predict Urban Sprawl

Anita Pampoore-Thampi, Aparna S. Varde, Danlin Yu

Comments 8 Pages, 13 figures, KDD 2014 conference Bloomberg track

Journal ref ACM KDD 2014 Conference (Bloomberg Track)

Mining of Switching Sparse Networks for Missing Value Imputation in Multivariate Time Series

Kohei Obata, Koki Kawabata, Yasuko Matsubara, Yasushi Sakurai

Comments Accepted by KDD 2024

Revisiting Local PageRank Estimation on Undirected Graphs: Simple and Optimal

Hanzhi Wang

Comments KDD 2024

Optimizing Item-based Marketing Promotion Efficiency in C2C Marketplace with Dynamic Sequential Coupon Allocation Framework

Jie Yang, Padunna Valappil Krishnaraj Sekhar, Sho Sekine, Yilin Li

Journal ref ACM SIGKDD 3rd Workshop on End-to-End Customer Journey Optimization, 2024

Assessing Adversarial Robustness of Large Language Models: An Empirical Study

Zeyu Yang, Zhao Meng, Xiaochen Zheng, Roger Wattenhofer

Comments Oral presentation at KDD 2024 GenAI Evaluation workshop

Understanding Knowledge Drift in LLMs through Misinformation

Alina Fastowski, Gjergji Kasneci

Comments 13 pages, 3 figures. Accepted at DELTA workshop at KDD 2024

A Survey of Large Language Models for Graphs

Xubin Ren, Jiabin Tang, Dawei Yin, Nitesh Chawla, Chao Huang

Comments Published as a KDD'24 survey paper

EMCNet : Graph-Nets for Electron Micrographs Classification

Sakhinana Sagar Srinivas, Rajat Kumar Sarkar, Venkataramana Runkana

Comments 12 pages, 10 figures, Accepted in a ACM SIGKDD 2022 Workshop on Machine Learning for Materials

DetoxBench: Benchmarking Large Language Models for Multitask Fraud & Abuse Detection

Joymallya Chakraborty, Wei Xia, Anirban Majumder, Dan Ma, Walid Chaabene, Naveed Janvekar

Comments 12 pages

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

Nested Fusion: A Method for Learning High Resolution Latent Structure of Multi-Scale Measurement Data on Mars

Austin P. Wright, Scott Davidoff, Duen Horng Chau

Comments 11 pages

Journal ref In Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24), August 25-29, 2024, Barcelona, Spain. ACM, New York, NY, USA

Know, Grow, and Protect Net Worth: Using ML for Asset Protection by Preventing Overdraft Fees

Avishek Kumar, Tyson Silver

Comments KDD '24: Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Towards Measuring Sell Side Outcomes in Buy Side Marketplace Experiments using In-Experiment Bipartite Graph

Vaiva Pilkauskaitė, Jevgenij Gamper, Rasa Giniūnaitė, Agne Reklaitė

Comments 5 pages, 3 figures, this work was presented at the KDD 2024 Conference Undergraduate Consortium

ChatGPT and Its Educational Impact: Insights from a Software Development Competition

Sunhee Hwang, Yudoo Kim, Heejin Lee

Comments Accepted into KDD 2024 workshop on AI4EDU

VERA: Validation and Evaluation of Retrieval-Augmented Systems

Tianyu Ding, Adi Banerjee, Laurent Mombaerts, Yunhong Li, Tarik Borogovac, Juan Pablo De la Cruz Weinstein

Comments Accepted in Workshop on Evaluation and Trustworthiness of Generative AI Models, KDD 2024

100 instances is all you need: predicting the success of a new LLM on unseen data by testing on a few instances

Lorenzo Pacchiardi, Lucy G. Cheke, José Hernández-Orallo

Comments Presented at the 2024 KDD workshop on Evaluation and Trustworthiness of Generative AI Models

HGAMN: Heterogeneous Graph Attention Matching Network for Multilingual POI Retrieval at Baidu Maps

Jizhou Huang, Haifeng Wang, Yibo Sun, Miao Fan, Zhengjie Huang, Chunyuan Yuan, Yawen Li

Comments Accepted by KDD'21

MOBIUS: Towards the Next Generation of Query-Ad Matching in Baidu's Sponsored Search

Miao Fan, Jiacheng Guo, Shuai Zhu, Shuo Miao, Mingming Sun, Ping Li

Comments Accepted by KDD'19