KDD

Towards Aligned Canonical Correlation Analysis: Preliminary Formulation and Proof-of-Concept Results

Biqian Cheng, Evangelos E. Papalexakis, Jia Chen

Comments 4 pages, 7 figures, KDD SoCal symposium 2023 (extended version)

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop

Jieming Zhu, Guohao Cai, Junjie Huang, Zhenhua Dong, Ruiming Tang, Weinan Zhang

Comments Accepted by KDD 2023

Building Open Knowledge Graph for Metal-Organic Frameworks (MOF-KG): Challenges and Case Studies

Yuan An, Jane Greenberg, Xintong Zhao, Xiaohua Hu, Scott McCLellan, Alex Kalinowski, Fernando J. Uribe-Romo, Kyle Langlois, Jacob Furst, Diego A. Gómez-Gualdrón, Fernando Fajardo-Rojas, Katherine Ardila

Comments Accepted by the International Workshop on Knowledge Graphs and Open Knowledge Network (OKN'22) Co-located with the 28th ACM SIGKDD Conference

Analyzing and Predicting Low-Listenership Trends in a Large-Scale Mobile Health Program: A Preliminary Investigation

Arshika Lalan, Shresth Verma, Kumar Madhu Sudan, Amrita Mahale, Aparna Hegde, Milind Tambe, Aparna Taneja

Comments Accepted to Data Science for Social Good Workshop, KDD 2023

An In-Depth Evaluation of Federated Learning on Biomedical Natural Language Processing

Le Peng, Gaoxiang Luo, sicheng zhou, jiandong chen, Rui Zhang, Ziyue Xu, Ju Sun

Comments Accepted by KDD 2023 Workshop FL4Data-Mining

Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization

Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang

Comments This paper has been accepted by KDD 2023

Spectral Clustering of Attributed Multi-relational Graphs

Ylli Sadikaj, Yllka Velaj, Sahar Behzadi, Claudia Plant

Journal ref Association for Computing Machinery, Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 21, Virtual Event, Singapore, August 2021, Pages 1431-1440

FedCP: Separating Feature Information for Personalized Federated Learning via Conditional Policy

Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Haibing Guan

Comments Accepted by KDD 2023

How Transitive Are Real-World Group Interactions? -- Measurement and Reproduction

Sunwoo Kim, Fanchen Bu, Minyoung Choe, Jaemin Yoo, Kijung Shin

Comments Published in KDD 2023. 12 pages, 7 figures, and 11 tables

Bid Optimization for Offsite Display Ad Campaigns on eCommerce

Hangjian Li, Dong Xu, Konstantin Shmakov, Kuang-Chih Lee, Wei Shen

Journal ref Workshop on Decision Intelligence and Analytics for Online Marketplaces, KDD 2023

The Missing Indicator Method: From Low to High Dimensions

Mike Van Ness, Tomas M. Bosschieter, Roberto Halpin-Gregorio, Madeleine Udell

Journal ref SIGKDD 2023 Proceedings p5004 5015

Marginal Nodes Matter: Towards Structure Fairness in Graphs

Xiaotian Han, Kaixiong Zhou, Ting-Hsiang Wang, Jundong Li, Fei Wang, Na Zou

Comments SIGKDD Explorations (To Appear)

Weakly Supervised Multi-Label Classification of Full-Text Scientific Papers

Yu Zhang, Bowen Jin, Xiusi Chen, Yanzhen Shen, Yunyi Zhang, Yu Meng, Jiawei Han

Comments 12 pages; Accepted to KDD 2023 (Code: https://github.com/yuzhimanhua/FUTEX)

DESCN: Deep Entire Space Cross Networks for Individual Treatment Effect Estimation

Kailiang Zhong, Fengtong Xiao, Yan Ren, Yaorong Liang, Wenqing Yao, Xiaofeng Yang, Ling Cen

Comments Accepted by SIGKDD 2022 Applied Data Science Track

Journal ref Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), August 14-18, 2022, Washington, DC, USA

Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation

Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Xiao Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang

Comments Accepted by NeurIPS 2023, Track on Datasets and Benchmarks; Dataset for KDD Cup 2023, https://kddcup23.github.io/

When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting

Harshavardhan Kamarthi, Lingkai Kong, Alexander Rodríguez, Chao Zhang, B. Aditya Prakash

Comments Accepted at KDD 2023

Rethinking Financial Service Promotion With Hybrid Recommender Systems at PicPay

Gabriel Mendonça, Matheus Santos, André Gonçalves, Yan Almeida

Comments 4 pages, 4 figures, submitted to ACM KDD '23 2nd Workshop on End-End Customer Journey Optimization

Automatic Music Playlist Generation via Simulation-based Reinforcement Learning

Federico Tomasi, Joseph Cauteruccio, Surya Kanoria, Kamil Ciosek, Matteo Rinaldi, Zhenwen Dai

Comments 10 pages. KDD 23

Precursor-of-Anomaly Detection for Irregular Time Series

Sheo Yon Jhin, Jaehoon Lee, Noseong Park

Comments KDD 2023 accepted paper

DCdetector: Dual Attention Contrastive Representation Learning for Time Series Anomaly Detection

Yiyuan Yang, Chaoli Zhang, Tian Zhou, Qingsong Wen, Liang Sun

Comments Accepted by ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD 2023)

A Knowledge Graph-Based Search Engine for Robustly Finding Doctors and Locations in the Healthcare Domain

Mayank Kejriwal, Hamid Haidarian, Min-Hsueh Chiu, Andy Xiang, Deep Shrestha, Faizan Javed

Comments Presented as an applied data science poster in KDD 2023

PASTA: PArallel Spatio-Temporal Attention with spatial auto-correlation gating for fine-grained crowd flow prediction

Chung Park, Junui Hong, Cheonbok Park, Taesan Kim, Minsung Choi, Jaegul Choo

Comments Accepted at Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2022

Neural Insights for Digital Marketing Content Design

Fanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Ricardo Henao, Shreya Chakrabarti

Journal ref International Conference on Knowledge Discovery and Data Mining (KDD'23), Long Beach, CA, pp. 4320-4332, 2023

Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler

Zhijun Chen, Hailong Sun, Wanhao Zhang, Chunyi Xu, Qianren Mao, Pengpeng Chen

Comments 13 pages, 4 figures, accepted by SIGKDD-2023

Cluster Language Model for Improved E-Commerce Retrieval and Ranking: Leveraging Query Similarity and Fine-Tuning for Personalized Results

Duleep Rathgamage Don, Ying Xie, Le Yu, Simon Hughes, Yun Zhu

Comments Accepted at The 6th Workshop on e-Commerce and NLP (ECNLP 6), KDD'23, Long Beach, CA

OpportunityFinder: A Framework for Automated Causal Inference

Huy Nguyen, Prince Grover, Devashish Khatwani

Comments KDD 2023 Workshop - Causal Inference and Machine Learning in Practice

Optimal Dynamic Subset Sampling: Theory and Applications

Lu Yi, Hanzhi Wang, Zhewei Wei

Comments ACM SIGKDD 2023

ChatGPT Informed Graph Neural Network for Stock Movement Prediction

Zihan Chen, Lei Nico Zheng, Cheng Lu, Jialu Yuan, Di Zhu

Comments Dataset is available at [https://github.com/ZihanChen1995/ChatGPT-GNN-StockPredict]. Accepted for the oral presentation at SIGKDD 2023 Workshop on Robust NLP for Finance

VRDU: A Benchmark for Visually-rich Document Understanding

Zilong Wang, Yichao Zhou, Wei Wei, Chen-Yu Lee, Sandeep Tata

Comments KDD 2023

AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness

Liyao Jiang, Chenglin Li, Haolan Chen, Xiaodong Gao, Xinwang Zhong, Yang Qiu, Shani Ye, Di Niu

Comments Accepted to KDD 2023 Applied Data Science Track