KDD

Mapping illegal waste dumping sites with neural-network classification of satellite imagery

Maria Roberta Devesa, Antonio Vazquez Brust

Comments 5 pages, 3 figures, KDD Workshop on Data-driven Humanitarian Mapping held with the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 14, 2021

Hypergraph Clustering Based on PageRank

Yuuki Takai, Atsushi Miyauchi, Masahiro Ikeda, Yuichi Yoshida

Comments KDD 2020

A Broader Picture of Random-walk Based Graph Embedding

Zexi Huang, Arlei Silva, Ambuj Singh

Comments Accepted to KDD 2021

Adverse Media Mining for KYC and ESG Compliance

Rupinder Paul Khandpur, Albert Aristotle Nanda, Mathew Davis, Chen Li, Daulet Nurmanbetov, Sankalp Gaur, Ashit Talukder

Comments accepted at: Workshop on Machine Learning in Finance, KDD 2020, August 24, 2020, San Diego, CA, USA. https://sites.google.com/view/kdd-mlf-2020/schedule

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec

Comments KDD Cup 2021. NeurIPS Datasets and Benchmarks Track 2021

PETGEN: Personalized Text Generation Attack on Deep Sequence Embedding-based Classification Models

Bing He, Mustaque Ahamad, Srijan Kumar

Comments Accepted for publication at: 2021 ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2021). Code and data at: https://github.com/srijankr/petgen

Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant

Wei Xiao, Qian Hu, Thahir Mohamed, Zheng Gao, Xibin Gao, Radhika Arava, Mohamed AbdelHady

Comments 9 pages, IRS KDD workshop 2021

Pre-trained Language Model for Web-scale Retrieval in Baidu Search

Yiding Liu, Guan Huang, Jiaxiang Liu, Weixue Lu, Suqi Cheng, Yukun Li, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin

Comments Accepted by KDD 2021

Topic-time Heatmaps for Human-in-the-loop Topic Detection and Tracking

Doug Beeferman, Hang Jiang

Comments Accepted to DaSH Workshop, KDD 2021

SAGE: Intrusion Alert-driven Attack Graph Extractor

Azqa Nadeem, Sicco Verwer, Shanchieh Jay Yang

Comments Appeared at VizSec '21 (proceedings) and KDD AI4Cyber '21 (without proceedings)

Cellular Network Radio Propagation Modeling with Deep Convolutional Neural Networks

Xin Zhang, Xiujun Shu, Bingwen Zhang, Jie Ren, Lizhou Zhou, Xin Chen

Journal ref Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, August, 2020, Pages 2378

Towards Theme Detection in Personal Finance Questions

John Xi Qiu, Adam Faulkner, Aysu Ezen Can

Comments Accepted to KDD-MLF 2021: ACM SIGKDD Workshop on Machine Learning in Finance

An Empirical Study of Accuracy, Fairness, Explainability, Distributional Robustness, and Adversarial Robustness

Moninder Singh, Gevorg Ghalachyan, Kush R. Varshney, Reginald E. Bryant

Journal ref presented at the 2021 KDD Workshop on Measures and Best Practices for Responsible AI

Scalable Hierarchical Agglomerative Clustering

Nicholas Monath, Avinava Dubey, Guru Guruganesh, Manzil Zaheer, Amr Ahmed, Andrew McCallum, Gokhan Mergen, Marc Najork, Mert Terzihan, Bryon Tjanaka, Yuan Wang, Yuchen Wu

Comments Appeared in KDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks

Yuhui Ding, Quanming Yao, Huan Zhao, Tong Zhang

Comments KDD 2021, Research Track; Add refs

AsySQN: Faster Vertical Federated Learning Algorithms with Better Computation Resource Utilization

Qingsong Zhang, Bin Gu, Cheng Deng, Songxiang Gu, Liefeng Bo, Jian Pei, Heng Huang

Comments Accepted by KDD 2021, 33 pages, 4 figs

Heterogeneous Ensemble for ESG Ratings Prediction

Tim Krappel, Alex Bogun, Damian Borth

Comments Accepted to KDD Workshop on Machine Learning in Finance 2021

Multi-class Text Classification using BERT-based Active Learning

Sumanth Prabhu, Moosa Mohamed, Hemant Misra

Journal ref DaSH@KDD'21, August 15-16, 2021, Virtual Conference

RobustTAD: Robust Time Series Anomaly Detection via Decomposition and Convolutional Neural Networks

Jingkun Gao, Xiaomin Song, Qingsong Wen, Pichao Wang, Liang Sun, Huan Xu

Comments Extended version of the paper at ACM SIGKDD Workshop on Mining and Learning from Time Series (KDD-MiLeTS 2020); 9 pages, 5 figures, and 2 tables

Online Optimization Methods for the Quantification Problem

Purushottam Kar, Shuai Li, Harikrishna Narasimhan, Sanjay Chawla, Fabrizio Sebastiani

Comments 26 pages, 6 figures. A short version of this manuscript will appear in the proceedings of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2016

Journal ref Final version published in Proceedings of the 22nd ACM Conference on Knowledge Discovery and Data Mining (KDD 2016), San Francisco, US, 2016, pp. 1625-1634

Modelling Major Disease Outbreaks in the 21st Century: A Causal Approach

Aboli Marathe, Saloni Parekh, Harsh Sakhrani

Comments Accepted at Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD-epiDAMIK) 2021: The 4th International Workshop on Epidemiology meets Data Mining and Knowledge discovery

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature

Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon

Comments ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) 2021 Applied Data Science Track

Simulating the Effects of Eco-Friendly Transportation Selections for Air Pollution Reduction

Keiichi Ochiai, Tsukasa Demizu, Shin Ishiguro, Shohei Maruyama, Akihiro Kawana

Comments KDD Cup 2019 Regular ML Track Task 2, 1st Prize https://dianshi.bce.baidu.com/competition/29/rule

Measurement as governance in and for responsible AI

Abigail Z. Jacobs

Comments 5 pages, 1 figure; KDD Workshop on Responsible AI 2021

Assessing Machine Learning Approaches to Address IoT Sensor Drift

Haining Zheng, Antonio Paiva

Comments 6 pages, The 4th International Workshop on Artificial Intelligence of Things, In conjunction with the 27th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2021), Virtual conference, Aug. 14-18th

AutoSmart: An Efficient and Automatic Machine Learning framework for Temporal Relational Data

Zhipeng Luo, Zhixing He, Jin Wang, Manqing Dong, Jianqiang Huang, Mingjian Chen, Bohang Zheng

Comments Accepted in the ADS track at the SIGKDD 2021 conference

Digitize-PID: Automatic Digitization of Piping and Instrumentation Diagrams

Shubham Paliwal, Arushi Jain, Monika Sharma, Lovekesh Vig

Comments 13 pages

Journal ref Trends and Applications in Knowledge Discovery and Data Mining. 168-180, PAKDD 2021

Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud

Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi

Journal ref In Proc. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2974-2983 (2021)

Proceedings of KDD 2020 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning

Snehalkumar, S. Gaikwad, Shankar Iyer, Dalton Lunga, Yu-Ru Lin

Comments The proceedings of the 1st Data-driven Humanitarian Mapping workshop at the 26th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Proceedings of KDD 2021 Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resilience Planning

Snehalkumar, S. Gaikwad, Shankar Iyer, Dalton Lunga, Elizabeth Bondi

Comments The proceedings of the 2nd Data-driven Humanitarian Mapping workshop at the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. August 15th, 2021