ACM Knowledge Discovery and Data Mining

All conferences Best Papers vs Top Cited Papers

The annual KDD conference is the premier interdisciplinary conference bringing together researchers and practitioners from data science, data mining, knowledge discovery, large-scale data analytics, and big data.

Top Authors ( author's name : number of papers / citations )

2015

Jure Leskovec: 3 / 1050

Dit-Yan Yeung: 1 / 925

Naiyan Wang: 1 / 925

Hao Wang: 1 / 925

Johannes Gehrke: 3 / 661

Noemie Elhadad: 1 / 613

Paul Koch: 1 / 613

Rich Caruana: 1 / 613

Marc Sturm: 1 / 613

John Moeller: 1 / 591

Suresh Venkatasubramanian: 1 / 591

Carlos Scheidegger: 1 / 591

Sorelle A. Friedler: 1 / 591

Julian J. Mcauley: 1 / 526

Qiaozhu Mei: 2 / 478

Eric P. Xing: 5 / 470

Guo-Jun Qi: 3 / 418

Pengtao Xie: 2 / 416

Meng Qu: 1 / 407

Jian Tang: 1 / 407

2016

Carlos Guestrin: 2 / 9096

Tianqi Chen: 1 / 6033

Jure Leskovec: 3 / 3519

Aditya Grover: 1 / 3167

Sameer Singh: 1 / 3063

Marco TÃºLio Ribeiro: 1 / 3063

Peng Cui: 4 / 1586

Wenwu Zhu: 3 / 1552

Daixin Wang: 1 / 1063

Jian Pei: 3 / 520

Mingdong Ou: 1 / 475

Hui Xiong: 9 / 441

Xing Xie: 2 / 437

Nicholas Jing Yuan: 2 / 437

Wei-Ying Ma: 1 / 407

Defu Lian: 1 / 407

Fuzheng Zhang: 1 / 407

Amit Agarwal: 1 / 311

Frank Seide: 1 / 311

Le Song: 3 / 298

2017

Dino Pedreschi: 2 / 1185

Fosca Giannotti: 2 / 1185

Mirco Nanni: 2 / 1185

Fabio Pinelli: 1 / 1174

Yuxiao Dong: 3 / 591

Nitesh V. Chawla: 2 / 548

Ananthram Swami: 1 / 541

Avi Feller: 1 / 371

Aziz Huq: 1 / 371

Sharad Goel: 1 / 371

Sam Corbett-Davies: 1 / 371

Emma Pierson: 1 / 371

Daniel R. Figueiredo: 1 / 347

Jure Leskovec: 3 / 331

D. Sculley: 3 / 283

Jiawei Han: 5 / 283

Jimeng Sun: 4 / 268

Greg Kochanski: 1 / 268

Daniel Golovin: 1 / 268

David F. Gleich: 3 / 245

2018

Jure Leskovec: 3 / 536

William L. Hamilton: 1 / 373

Ruining He: 1 / 373

Rex Ying: 1 / 373

Kaifeng Chen: 1 / 373

Philip S. Yu: 6 / 216

Jieping Ye: 5 / 184

Peng Cui: 7 / 176

Wenwu Zhu: 8 / 168

Jing Gao: 5 / 162

Xing Xie: 4 / 159

Jie Tang: 3 / 153

Shuiwang Ji: 4 / 153

Zhengyang Wang: 3 / 147

Fenglong Ma: 3 / 144

Yu Zheng: 4 / 142

Stephan GÃ¼Nnemann: 1 / 137

Daniel ZÃ¼Gner: 1 / 137

Amir Akbarnejad: 1 / 137

Charu Aggarwal: 4 / 136

2019

Xia Hu: 4 / 70

Xiangnan He: 4 / 64

Haifeng Jin: 1 / 60

Qingquan Song: 1 / 60

Jingren Zhou: 6 / 55

Xiang Wang: 1 / 54

Masanori Koyama: 1 / 54

Takuya Akiba: 1 / 54

Meng Liu: 1 / 54

Toshihiko Yanase: 1 / 54

Takeru Ohta: 1 / 54

Yixin Cao: 1 / 54

Shotaro Sano: 1 / 54

Tat-Seng Chua: 1 / 54

Hongxia Yang: 6 / 50

Jure Leskovec: 2 / 49

Jie Tang: 6 / 44

Nitesh V. Chawla: 3 / 41

Yu Zheng: 5 / 40

Chao Huang: 2 / 39

2020

JoÃ£O Gama: 1 / 0

Albert Bifet: 1 / 0

Publications

Top Clited

Authors

Affiliations

Browse by Citation

XGBoost: A Scalable Tree Boosting System

Tianqi Chen,Carlos Guestrin

(2016)

Cited by6033

node2vec: Scalable Feature Learning for Networks

Aditya Grover,Jure Leskovec

(2016)

Cited by3274

"Why Should I Trust You?": Explaining the Predictions of Any Classifier

Marco Túlio Ribeiro,Sameer Singh,Carlos Guestrin

(2016)

Cited by3063

Structural Deep Network Embedding

DAIXIN WANG,Peng Cui,Wenwu Zhu

(2016)

Cited by1063

Collaborative Deep Learning for Recommender Systems

Hao Wang,Naiyan Wang,Dit-Yan Yeung

(2015)

Cited by925

Intelligible Models for HealthCare: Predicting Pneumonia Risk and Hospital 30-day Readmission

Rich Caruana, Yin Lou,Johannes Gehrke,Paul Koch,Marc Sturm,Noemie Elhadad

(2015)

Cited by613

Certifying and Removing Disparate Impact

Michael Feldman,Sorelle A. Friedler,John Moeller,Carlos Scheidegger,Suresh Venkatasubramanian

(2015)

Cited by591

metapath2vec: Scalable Representation Learning for Heterogeneous Networks

Yuxiao Dong,Nitesh V. Chawla,Ananthram Swami

(2017)

Cited by562

Inferring Networks of Substitutable and Complementary Products

Julian J. McAuley, Rahul Pandey,Jure Leskovec

(2015)

Cited by531

Asymmetric Transitivity Preserving Graph Embedding

Mingdong Ou,Peng Cui,Jian Pei,Wenwu Zhu

(2016)

Cited by460

Graph Convolutional Neural Networks for Web-Scale Recommender Systems

Rex Ying,Ruining He,Kaifeng Chen, Pong Eksombatchai,William L. Hamilton,Jure Leskovec

(2018)

Cited by423

PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks

Jian Tang,Meng Qu,Qiaozhu Mei

(2015)

Cited by420

Collaborative Knowledge Base Embedding for Recommender Systems

Fuzheng Zhang,Nicholas Jing Yuan,Defu Lian,Xing Xie,Wei-Ying Ma

(2016)

Cited by414

Heterogeneous Network Embedding via Deep Architectures

Shiyu Chang,Wei Han,Jiliang Tang,Guo-Jun Qi,Charu C. Aggarwal,Thomas S. Huang

(2015)

Cited by401

Deep Graph Kernels

Pinar Yanardag,S. V. N. Vishwanathan

(2015)

Cited by392

Algorithmic decision making and the cost of fairness

Sam Corbett-Davies,Emma Pierson,Avi Feller,Sharad Goel,Aziz Huq

(2017)

Cited by371

SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity

Qingyuan Zhao,Murat A. Erdogdu, Hera Y. He,Anand Rajaraman,Jure Leskovec

(2015)

Cited by369

struc2vec: Learning Node Representations from Structural Identity

Leonardo Filipe Rodrigues Ribeiro, Pedro H. P. Saverese,Daniel R. Figueiredo

(2017)

Cited by347

Petuum: A New Platform for Distributed Machine Learning on Big Data

Eric P. Xing,Qirong Ho,Wei Dai,Jin Kyu Kim,Jinliang Wei,Seunghak Lee,Xun Zheng,Pengtao Xie,Abhimanu Kumar,Yaoliang Yu

(2015)

Cited by344

Interpretable Decision Sets: A Joint Framework for Description and Prediction

Himabindu Lakkaraju,Stephen Bach,Jure Leskovec

(2016)

Cited by326

CNTK: Microsoft's Open-Source Deep-Learning Toolkit

Frank Seide,Amit Agarwal

(2016)

Cited by311

Google Vizier: A Service for Black-Box Optimization

Daniel Golovin, Benjamin Solnik, Subhodeep Moitra,Greg Kochanski, John Karro,D. Sculley

(2017)

Cited by268

Multi-layer Representation Learning for Medical Concepts

Edward Choi,Mohammad Taha Bahadori, Elizabeth Searles, Catherine Coffey,Jimeng Sun

(2016)

Cited by254

Recurrent Marked Temporal Point Processes: Embedding Event History to Vector

NAN DU,Hanjun Dai,Rakshit Trivedi,Utkarsh Upadhyay,Manuel Gomez-Rodriguez,Le Song

(2016)

Cited by241

Anomaly Detection with Robust Deep Autoencoders

Chong Zhou,Randy C. Paffenroth

(2017)

Cited by235

Forecasting Fine-Grained Air Quality Based on Big Data

Yu Zheng,Xiuwen Yi, Ming Li,Ruiyuan Li, Zhangqing Shan,Eric Chang,Tianrui Li

(2015)

Cited by229

Local Higher-Order Graph Clustering

Hao Yin,Austin R. Benson,Jure Leskovec,David F. Gleich

(2017)

Cited by225

Active Data Mining

Rakesh Agrawal,Giuseppe Psaila

(2008)

Cited by221

Collective Opinion Spam Detection: Bridging Review Networks and Metadata

Shebuti Rayana,Leman Akoglu

(2015)

Cited by208

E-commerce in Your Inbox: Product Recommendations at Scale

Mihajlo Grbovic,Vladan Radosavljevic,Nemanja Djuric,Narayan Bhamidipati, Jaikit Savla, Varun Bhagwan, Doug Sharp

(2015)

Cited by190

Deep Computational Phenotyping

Zhengping Che, David C. Kale, Wenzhe Li,Mohammad Taha Bahadori,Yan Liu

(2015)

Cited by189

GRAM: Graph-based Attention Model for Healthcare Representation Learning

Edward Choi,Mohammad Taha Bahadori,Le Song,Walter F. Stewart,Jimeng Sun

(2017)

Cited by183

COSNET: Connecting Heterogeneous Social Networks with Local and Global Consistency

Yutao Zhang,Jie Tang,Zhilin Yang,Jian Pei,Philip S. Yu

(2015)

Cited by181

From Group to Individual Labels Using Deep Features

Dimitrios Kotzias,Misha Denil,Nando de Freitas,Padhraic Smyth

(2015)

Cited by179

Algorithmic Bias: From Discrimination Discovery to Fairness-aware Data Mining

Sara Hajian,Francesco Bonchi,Carlos Castillo

(2016)

Cited by177

Point-of-Interest Recommendations: Learning Potential Check-ins from Friends

Huayu Li,Yong Ge,Richang Hong,Hengshu Zhu

(2016)

Cited by175

Network Lasso: Clustering and Optimization in Large Graphs

David Hallac,Jure Leskovec,Stephen Boyd

(2015)

Cited by171

Large Scale Distributed Data Science using Apache Spark

James G. Shanahan, Laing Dai

(2015)

Cited by164

Generic and Scalable Framework for Automated Time-series Anomaly Detection

Nikolay Laptev,Saeed Amizadeh, Ian Flint

(2015)

Cited by164

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform

Denis Baylor,Eric Breck,Heng-Tze Cheng, Noah Fiedel, Chuan Yu Foo, Zakaria Haque, Salem Haykal, Mustafa Ispir,Vihan Jain, Levent Koc, Chiu Yuen Koo, Lukasz Lew

(2017)

Cited by161

Deep & Cross Network for Ad Click Predictions

Ruoxi Wang,Bin Fu,Gang Fu,Mingliang Wang

(2017)

Cited by155

Collaborative Variational Autoencoder for Recommender Systems

Xiaopeng Li,James She

(2017)

Cited by150

Deep Visual-Semantic Hashing for Cross-Modal Retrieval