KDD

Path-Specific Counterfactual Fairness for Recommender Systems

Yaochen Zhu, Jing Ma, Liang Wu, Qi Guo, Liangjie Hong, Jundong Li

Comments Accepted by KDD 2023 research track

Adversaries with Limited Information in the Friedkin--Johnsen Model

Sijing Tu, Stefan Neumann, Aristides Gionis

Comments KDD'23

Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction

Ruibo Chen, Zhiyuan Zhang, Yi Liu, Ruihan Bao, Keiko Harimoto, Xu Sun

Comments 9 pages, 3 figures, 7 tables. Accepted by 2023 KDD Workshop on Machine Learning in Finance

Empowering Long-tail Item Recommendation through Cross Decoupling Network (CDN)

Yin Zhang, Ruoxi Wang, Tiansheng Yao, Xinyang Yi, Lichan Hong, James Caverlee, Ed H. Chi, Derek Zhiyuan Cheng

Comments Accepted by KDD 2023 Applied Data Science (ADS) track

What Makes Good Open-Vocabulary Detector: A Disassembling Perspective

Jincheng Li, Chunyu Xie, Xiaoyu Wu, Bin Wang, Dawei Leng

Journal ref KDD workshop 2023

Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM

Hyunsung Kim, Han-Jun Choi, Chang Jo Kim, Jinsung Yoon, Sang-Ki Ko

Journal ref Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Catalog Phrase Grounding (CPG): Grounding of Product Textual Attributes in Product Images for e-commerce Vision-Language Applications

Wenyi Wu, Karim Bouyarmane, Ismail Tutar

Comments KDD 2022 Workshop on First Content Understanding and Generation for e-Commerce

MGNN: Graph Neural Networks Inspired by Distance Geometry Problem

Guanyu Cui, Zhewei Wei

Comments Accepted by KDD 2023

An Ensemble Approach to Personalized Real Time Predictive Writing for Experts

Sourav Prosad, Viswa Datha Polavarapu, Shrutendra Harsola

Comments ACM SIGKDD Workshop on Machine Learning in Finance, 2023

Task Relation-aware Continual User Representation Learning

Sein Kim, Namkyeong Lee, Donghyun Kim, Minchul Yang, Chanyoung Park

Comments KDD 2023

Graph Encoding and Neural Network Approaches for Volleyball Analytics: From Game Outcome to Individual Play Predictions

Rhys Tracy, Haotian Xia, Alex Rasla, Yuan-Fang Wang, Ambuj Singh

Comments This paper is an extended version of the one accepted at the KDD 2023 Workshop on Data Science and AI for Sports (DSAI4Sports), entitled 'RallyGraph: Specialized Graph Encoding for Enhanced Volleyball'

Graph Neural Bandits

Yunzhe Qi, Yikun Ban, Jingrui He

Comments Accepted to SIGKDD 2023

Accelerating Antimicrobial Peptide Discovery with Latent Structure

Danqing Wang, Zeyu Wen, Fei Ye, Lei Li, Hao Zhou

Comments KDD 2023

Fighting Fire with Fire: Can ChatGPT Detect AI-generated Text?

Amrita Bhattacharjee, Huan Liu

Comments to appear in SIGKDD Explorations (December 2023)

Enhance Diffusion to Improve Robust Generalization

Jianhui Sun, Sanchit Sinha, Aidong Zhang

Comments Accepted at KDD 2023

BIRP: Bitcoin Information Retrieval Prediction Model Based on Multimodal Pattern Matching

Minsuk Kim, Byungchul Kim, Junyeong Yong, Jeongwoo Park, Gyeongmin Kim

Comments 5 pages, 2 figures, KDD 2023 Machine Learning in Finance workshop

Stationary Algorithmic Balancing For Dynamic Email Re-Ranking Problem

Jiayi Liu, Jennifer Neville

Comments Published in KDD'23

Bridging Offline-Online Evaluation with a Time-dependent and Popularity Bias-free Offline Metric for Recommenders

Petr Kasalický, Rodrigo Alves, Pavel Kordík

Comments Accepted to evalRS 2023@KDD

Learning on Graphs with Out-of-Distribution Nodes

Yu Song, Donglin Wang

Comments Accepted by KDD'22

Context-aware Event Forecasting via Graph Disentanglement

Yunshan Ma, Chenchen Ye, Zijian Wu, Xiang Wang, Yixin Cao, Tat-Seng Chua

Comments KDD 2023, 9 pages, 7 figures, 4 tables

A Feature Set of Small Size for the PDF Malware Detection

Ran Liu, Charles Nicholas

Comments Accepted for publication at the ACM SIGKDD & Annual KDD Conference workshop on Knowledge-infused Machine Learning, 2023

Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution

Tsuyoshi Idé, Naoki Abe

Journal ref KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 2023, pp.845-856

Sparse Binary Transformers for Multivariate Time Series Modeling

Matt Gorbett, Hossein Shirazi, Indrakshi Ray

Comments Published at KDD '23

AutoHint: Automatic Prompt Optimization with Hint Generation

Hong Sun, Xue Li, Yinchuan Xu, Youkow Homma, Qi Cao, Min Wu, Jian Jiao, Denis Charles

Comments KDD 2023: Foundations and Applications in Large-scale AI Models-Pre-training, Fine-tuning, and Prompt-based Learning workshop

CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation

Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin

Journal ref KDD-2023-ADS

Bio+Clinical BERT, BERT Base, and CNN Performance Comparison for Predicting Drug-Review Satisfaction

Yue Ling

Comments KDD 2023 Workshop on Applied Data Science for Healthcare

Harnessing the Web and Knowledge Graphs for Automated Impact Investing Scoring

Qingzhi Hu, Daniel Daza, Laurens Swinkels, Kristina Ūsaitė, Robbert-Jan 't Hoen, Paul Groth

Comments Presented at the KDD 2023 Workshop - Fragile Earth: AI for Climate Sustainability

Maximizing Neutrality in News Ordering

Rishi Advani, Paolo Papotti, Abolfazl Asudeh

Comments 14 pages, 13 figures, accepted to KDD '23

Journal ref Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '23) (2023) 11--24

kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval

Ahmed El-Kishky, Thomas Markovich, Kenny Leung, Frank Portman, Aria Haghighi, Ying Xiao

Comments Pacific-Asia Conference on Knowledge Discovery and Data Mining. Cham: Springer Nature Switzerland, 2023 (PAKDD 2023)

Exploratory Analysis of Covid-19 Tweets using Topic Modeling, UMAP, and DiGraphs

Catherine Ordun, Sanjay Purushotham, Edward Raff

Journal ref Aug. 2020, epiDAMIK 3.0: The 3rd International Workshop on Epidemiology meets Data Mining and Knowledge Discovery. In Proceedings of the 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining