KDD - arXivDaily 期刊&会议

2108.04452 2021-08-11 cs.IR cs.AI cs.LG

High Quality Related Search Query Suggestions using Deep Reinforcement Learning

Praveen Kumar Bodigutla

Comments Multi-Armed Bandits and Reinforcement Learning: Advancing Decision Making in E-Commerce and Beyond at KDD 2021

2108.04208 2021-08-11 cs.CY cs.HC

Experiences with the Introduction of AI-based Tools for Moderation Automation of Voice-based Participatory Media Forums

Aman Khullar, Paramita Panjal, Rachit Pandey, Abhishek Burnwal, Prashit Raj, Ankit Akash Jha, Priyadarshi Hitesh, R Jayanth Reddy, Himanshu, Aaditeshwar Seth

Journal ref The 3rd KDD Workshop on Data Science for Social Good, 2021

2108.03284 2021-08-10 physics.soc-ph cs.DC stat.CO

Estimating Active Cases of COVID-19

Javier Álvarez, Carlos Baquero, Elisa Cabana, Jaya Prakash Champati, Antonio Fernández Anta, Davide Frey, Augusto García-Agúndez, Chryssis Georgiou, Mathieu Goessens, Harold Hernández, Rosa Lillo, Raquel Menezes, Raúl Moreno, Nicolas Nicolaou, Oluwasegun Ojo, Antonio Ortega, Jesús Rufino, Efstathios Stavrakis, Govind Jeevan, Christin Glorioso

Comments Presented at the 2nd KDD Workshop on Data-driven Humanitarian Mapping: Harnessing Human-Machine Intelligence for High-Stake Public Policy and Resiliency Planning, August 15, 2021

2108.03067 2021-08-09 cs.CL cs.LG

Deriving Disinformation Insights from Geolocalized Twitter Callouts

David Tuxworth, Dimosthenis Antypas, Luis Espinosa-Anke, Jose Camacho-Collados, Alun Preece, David Rogers

Comments Accepted for presentation at KDD 2021 - Workshop On Deriving Insights From User-Generated Text

2108.02899 2021-08-09 cs.CL cs.LG

Lights, Camera, Action! A Framework to Improve NLP Accuracy over OCR documents

Amit Gupte, Alexey Romanov, Sahitya Mantravadi, Dalitso Banda, Jianjie Liu, Raza Khan, Lakshmanan Ramu Meenal, Benjamin Han, Soundar Srinivasan

Comments Accepted to the Document Intelligence Workshop at KDD 2021. The source code of Genalog is available at https://github.com/microsoft/genalog

2005.00478 2021-08-09 cs.LG stat.ML

DriveML: An R Package for Driverless Machine Learning

Sayan Putatunda, Dayananda Ubrangala, Kiran Rama, Ravi Kondapalli

Comments Paper selected for presentation at the 2nd International Workshop on Data Quality Assessment for Machine Learning @ Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), 14-18 August, 2021, Singapore

2108.02725 2021-08-06 cs.CL cs.CV

VisualTextRank: Unsupervised Graph-based Content Extraction for Automating Ad Text to Image Search

Shaunak Mishra, Mikhail Kuznetsov, Gaurav Srivastava, Maxim Sviridenko

Comments Accepted for publication at KDD 2021

2108.02618 2021-08-06 cs.CR cs.AI

Using a Collated Cybersecurity Dataset for Machine Learning and Artificial Intelligence

Erik Hemberg, Una-May O'Reilly

Comments 5 pages, 2 Figures, 2 Tables, ACM KDD AI4Cyber: The 1st Workshop on Artificial Intelligence- enabled Cybersecurity Analytics at KDD'21

2108.02137 2021-08-05 cs.CY cs.AI cs.LG

Under the Radar -- Auditing Fairness in ML for Humanitarian Mapping

Lukas Kondmann, Xiao Xiang Zhu

Comments to appear at the 2nd KDD Workshop on Data-Driven Humanitarian Mapping

2108.01696 2021-08-05 cs.CR

Linking Common Vulnerabilities and Exposures to the MITRE ATT&CK Framework: A Self-Distillation Approach

Benjamin Ampel, Sagar Samtani, Steven Ullman, Hsinchun Chen

Comments Proceedings of 2021 ACM Conference Knowledge Discovery and Data Mining (KDD' 21) Workshop on AI-enabled Cybersecurity Analytics

2107.05180 2021-08-03 cs.LG

MugRep: A Multi-Task Hierarchical Graph Representation Learning Framework for Real Estate Appraisal

Weijia Zhang, Hao Liu, Lijun Zha, Hengshu Zhu, Ji Liu, Dejing Dou, Hui Xiong

Comments 11 pages, SIGKDD-2021

2107.14551 2021-08-02 cs.CY cs.DC cs.LG

Sensing and Mapping for Better Roads: Initial Plan for Using Federated Learning and Implementing a Digital Twin to Identify the Road Conditions in a Developing Country -- Sri Lanka

Thilanka Munasinghe, HR Pasindu

Comments 4 pages, KDD Workshop on Data-driven Humanitarian Mapping held with the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 14, 2021

2107.13673 2021-08-02 cs.LG q-fin.GN

Relational Graph Neural Networks for Fraud Detection in a Super-App environment

Jaime D. Acevedo-Viloria, Luisa Roa, Soji Adeshina, Cesar Charalla Olazo, Andrés Rodríguez-Rey, Jose Alberto Ramos, Alejandro Correa-Bahnsen

Comments Accepted to be appeared in 2021 KDD Workshop on ML in Finance

2107.14095 2021-07-30 cs.CY

Exploring the Scope and Potential of Local Newspaper-based Dengue Surveillance in Bangladesh

Nazia Tasnim, Md. Istiak Hossain Shihab, Moqsadur Rahman, Sheikh Rabiul Islam, Mohammad Ruhul Amin

Comments 5 Pages, Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare

2107.13590 2021-07-30 physics.soc-ph

Location Data Reveals Disproportionate Disaster Impact Amongst the Poor: A Case Study of the 2017 Puebla Earthquake Using Mobilkit

Takahiro Yabe, Nicholas K W Jones, Nancy Lozano-Gracia, Maham Faisal Khan, Satish V. Ukkusuri, Samuel Fraiberger, Aleister Montfort

Comments Accepted in ACM KDD Workshop on Data-Driven Humanitarian Mapping 2021

2107.12455 2021-07-30 cs.LG

Combining Reward and Rank Signals for Slate Recommendation

Imad Aouali, Sergey Ivanov, Mike Gartrell, David Rohde, Flavian Vasile, Victor Zaytsev, Diego Legrand

Comments KDD '21 Workshop on Bayesian Causal Inference for Real World Interactive Systems, August 14th-15th, 2021, Singapore

2107.12443 2021-07-28 cs.HC

SeismographAPI: Visualising Temporal-Spatial Crisis Data

Raphael Lepuschitz, Niklas Stoehr

Comments Published in the KDD Workshop on Data-driven Humanitarian Mapping held with the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '21), August 14, 2021

2107.11789 2021-07-28 cs.LG cs.AI

ROD: Reception-aware Online Distillation for Sparse Graphs

Wentao Zhang, Yuezihan Jiang, Yang Li, Zeang Sheng, Yu Shen, Xupeng Miao, Liang Wang, Zhi Yang, Bin Cui

Journal ref Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD-2021)

2107.12224 2021-07-27 cs.LG

Local2Global: Scaling global representation learning on graphs via local training

Lucas G. S. Jeub, Giovanni Colavizza, Xiaowen Dong, Marya Bazzi, Mihai Cucuringu

Comments 5 pages, 1 figure, to appear at DLG-KDD '21

2107.03383 2021-07-27 q-bio.GN cs.LG

Assessing putative bias in prediction of anti-microbial resistance from real-world genotyping data under explicit causal assumptions

Mattia Prosperi, Simone Marini, Christina Boucher, Jiang Bian

Comments In DSHealth '21] Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare, Aug 14--18, 2021, Virtual, 5 pages

2102.07619 2021-07-27 cs.IR

MaskNet: Introducing Feature-Wise Multiplication to CTR Ranking Models by Instance-Guided Mask

Zhiqiang Wang, Qingyun She, Junlin Zhang

Comments In Proceedings of DLP-KDD 2021. ACM,Singapore. arXiv admin note: text overlap with arXiv:2006.12753

2107.10670 2021-07-24 q-bio.QM cs.LG

Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity

Shuangli Li, Jingbo Zhou, Tong Xu, Liang Huang, Fan Wang, Haoyi Xiong, Weili Huang, Dejing Dou, Hui Xiong

Comments 11 pages, 8 figures, Accepted by KDD 2021 (Research Track)

2107.10480 2021-07-23 cs.LG cs.CR cs.CV

Unsupervised Detection of Adversarial Examples with Model Explanations

Gihyuk Ko, Gyumin Lim

Comments AdvML@KDD'21

2107.10449 2021-07-23 cs.LG cs.CV cs.HC

Improve Learning from Crowds via Generative Augmentation

Zhendong Chu, Hongning Wang

Comments KDD 2021

2107.10399 2021-07-23 cs.LG

Quantifying machine learning-induced overdiagnosis in sepsis

Anna Fedyukova, Douglas Pires, Daniel Capurro

Comments 3 pages, 1 figure, Joint KDD 2021 Health Day and 2021 KDD Workshop on Applied Data Science for Healthcare, August 14-18, 2021

2107.09422 2021-07-21 cs.LG cs.AI cs.SI stat.ML

Large-scale graph representation learning with very deep GNNs and self-supervision

Ravichandra Addanki, Peter W. Battaglia, David Budden, Andreea Deac, Jonathan Godwin, Thomas Keck, Wai Lok Sibon Li, Alvaro Sanchez-Gonzalez, Jacklynn Stott, Shantanu Thakoor, Petar Veličković

Comments To appear at KDD Cup 2021. 13 pages, 3 figures. All authors contributed equally

2010.12537 2021-07-21 cs.IR cs.AI cs.DB

TUTA: Tree-based Transformers for Generally Structured Table Pre-training

Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang

Comments KDD'21

2006.10483 2021-07-20 cs.LG stat.ML

Algorithmic Decision Making with Conditional Fairness

Renzhe Xu, Peng Cui, Kun Kuang, Bo Li, Linjun Zhou, Zheyan Shen, Wei Cui

Comments KDD 2020

2107.08128 2021-07-20 cs.CL

The Law of Large Documents: Understanding the Structure of Legal Contracts Using Visual Cues

Allison Hegel, Marina Shah, Genevieve Peaslee, Brendan Roof, Emad Elwany

Journal ref Document Intelligence Workshop at KDD, 2021

2107.02359 2021-07-19 cs.LG cs.AI cs.HC

Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case

Shruthi Chari, Prithwish Chakraborty, Mohamed Ghalwash, Oshani Seneviratne, Elif K. Eyigoz, Daniel M. Gruen, Fernando Suarez Saiz, Ching-Hua Chen, Pablo Meyer Rojas, Deborah L. McGuinness

Comments 4 pages, 4 tables, 3 figures, 2.5 pages appendices To appear and accepted at: KDD Workshop on Applied Data Science for Healthcare (DSHealth), 2021, Virtual