KDD

TIES: Temporal Interaction Embeddings For Enhancing Social Media Integrity At Facebook

Nima Noorshams, Saurabh Verma, Aude Hofleitner

Comments Submitted to KDD 2020 applied DS track

Algorithms for Hiring and Outsourcing in the Online Labor Market

Aris Anagnostopoulos, Carlos Castillo, Adriano Fazzone, Stefano Leonardi, Evimaria Terzi

Comments Published at 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining 2018

Estimating the Percolation Centrality of Large Networks through Pseudo-dimension Theory

Alane M. de Lima, Murilo V. G. da Silva, André L. Vignatti

Comments Submitted to ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020

ARMS: Automated rules management system for fraud detection

David Aparício, Ricardo Barata, João Bravo, João Tiago Ascensão, Pedro Bizarro

Comments 11 pages, 12 figures, submitted to KDD '20 Applied Data Science Track

An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation

Yanru Qu, Ting Bai, Weinan Zhang, Jianyun Nie, Jian Tang

Comments 9 pages, accepted by DLP-KDD'19, best paper

Machine learning in healthcare -- a system's perspective

Awais Ashfaq, Slawomir Nowaczyk

Comments ACM SIGKDD Workshop on Epidemiology meets Data Mining and Knowledge Discovery (epiDAMIK), August 2019 Anchorage, USA

Dropout-GAN: Learning from a Dynamic Ensemble of Discriminators

Gonçalo Mordido, Haojin Yang, Christoph Meinel

Comments Extended version of ACM KDD'18 Deep Learning Day

Scalable Hierarchical Clustering with Tree Grafting

Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael Glass, Andrew McCallum

Comments 23 pages (appendix included), published at KDD 2019

Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data

Jackson A. Killian, Bryan Wilder, Amit Sharma, Daksha Shah, Vinod Choudhary, Bistra Dilkina, Milind Tambe

Comments 10 pages, 6 figures

Journal ref KDD 2019: The 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Pythia: AI-assisted Code Completion System

Alexey Svyatkovskiy, Ying Zhao, Shengyu Fu, Neel Sundaresan

Comments Published in Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD '19)

Efficient Global String Kernel with Random Features: Beyond Counting Substructures

Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu Aggarwal

Comments KDD'19 Oral Paper, Data and Code link available in the paper

Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding

Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu Aggarwal

Comments KDD'19, Oral Paper, Data and Code link available in the paper

Scalable Spectral Clustering Using Random Binning Features

Lingfei Wu, Pin-Yu Chen, Ian En-Hsu Yen, Fangli Xu, Yinglong Xia, Charu Aggarwal

Comments KDD'18, Oral Paper, Data and Code link available in the paper

DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles

Yue Zhao, Maciej K. Hryniewicki

Comments ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Outlier Detection De-constructed Workshop, 2018

Deep Bidirectional and Unidirectional LSTM Recurrent Neural Network for Network-wide Traffic Speed Prediction

Zhiyong Cui, Ruimin Ke, Ziyuan Pu, Yinhai Wang

Comments International Workshop on Urban Computing (UrbComp) 2017, Held in conjunction with the ACM SIGKDD 2017

A Data Set of Internet Claims and Comparison of their Sentiments with Credibility

Amey Parundekar, Susan Elias, Ashwin Ashok

Comments 8 pages, 6 figures, A paper accepted at the Truth Discovery and Fact Checking: Theory and Practice SIGKDD 2019 Workshop, August 5th, Anchorage, Alaska

Order Matters at Fanatics Recommending Sequentially Ordered Products by LSTM Embedded with Word2Vec

Jing Pan, Weian Sheng, Santanu Dey

Comments 5 pages, 2 figures, KDD 2019 Workshop, Deep Learning on Graphics,

Time-Aware Prospective Modeling of Users for Online Display Advertising

Djordje Gligorijevic, Jelena Gligorijevic, Aaron Flores

Comments Accepted at AdKDD 2019 workshop at KDD'19 conference, Anchorage, Alaska, USA

E.T.-RNN: Applying Deep Learning to Credit Loan Applications

Dmitrii Babaev, Maxim Savchenko, Alexander Tuzhilin, Dmitrii Umerenkov

Comments KDD 2019

Personalized Context-Aware Multi-Modal Transportation Recommendation

Meixin Zhu, Jingyun Hu, Hao, Yang, Ziyuan Pu, Yinhai Wang

Comments KDD cup 2019 regular machine track solution

Long-term Joint Scheduling for Urban Traffic

Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen

Comments KDD Cup 2019 Special PaddlePaddle Award

MLAT: Metric Learning for kNN in Streaming Time Series

Dongmin Park, Susik Yoon, Hwanjun Song, Jae-Gil Lee

Comments In Proc. 5th Workshop on Mining and Learning from Time Series (MiLeTS) in conjunction with KDD'19

Journal ref MileTS. Workshop on SIGKDD'19. (2019)

HiExpan: Task-Guided Taxonomy Construction by Hierarchical Tree Expansion

Jiaming Shen, Zeqiu Wu, Dongming Lei, Chao Zhang, Xiang Ren, Michelle T. Vanni, Brian M. Sadler, Jiawei Han

Comments KDD 2018 accepted

Discovery of Bias and Strategic Behavior in Crowdsourced Performance Assessment

Yifei Huang, Matt Shum, Xi Wu, Jason Zezhong Xiao

Comments International Workshop of Talent and Management Computing, KDD 2019

Rosetta: Large scale system for text detection and recognition in images

Fedor Borisyuk, Albert Gordo, Viswanath Sivakumar

Comments Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (KDD) 2018, London, United Kingdom

Predicting Auction Price of Vehicle License Plate with Deep Residual Learning

Vinci Chow

Journal ref Trends and Applications in Knowledge Discovery and Data Mining. PAKDD 2019. Lecture Notes in Computer Science, vol 11607. Springer, Cham

CubeNet: Multi-Facet Hierarchical Heterogeneous Network Construction, Analysis, and Mining

Carl Yang, Dai Teng, Siyang Liu, Sayantani Basu, Jieyu Zhang, Jiaming Shen, Chao Zhang, Jingbo Shang, Lance Kaplan, Timothy Harratty, Jiawei Han

Comments Published at KDD 2019 as a demo paper

I Know You'll Be Back: Interpretable New User Clustering and Churn Prediction on a Mobile Social Application

Carl Yang, Xiaolin Shi, Jie Luo, Jiawei Han

Comments Published at KDD 2018

Overlapping Community Detection with Graph Neural Networks

Oleksandr Shchur, Stephan Günnemann

Comments The First International Workshop on Deep Learning on Graphs (In Conjunction with the 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining) https://dlg2019.bitbucket.io/

Accelerating Physics-Based Simulations Using Neural Network Proxies: An Application in Oil Reservoir Modeling

Jiri Navratil, Alan King, Jesus Rios, Georgios Kollias, Ruben Torrado, Andres Codas

Comments 9 pages, submitted to FEED-2019 KDD Workshop & Frontiers in Big Data

Journal ref Front. Big Data, 20 September 2019