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Google at KDD’17: Graph Mining and Beyond

Wednesday, August 23, 2017

Posted by Bryan Perozzi, Research Scientist, NYC Algorithms and Optimization Team23rd ACM conference on Knowledge Discovery and Data MiningthesisSteven Skienaclassificationclusteringanomaly detectionDeepWalk: Online Learning of Social Representationslatentword2vecLearning Edge Representations via Low-Rank Asymmetric ProjectionsblueOrganizing CommitteeAndrew Tomkins Ravi Kumar Roberto J. Bayardo Sergei Vassilvitskii, Alex Beutel, Abhimanyu Das, Nan Du, Alessandro Epasto, Alex Fabrikant, Silvio Lattanzi, Kristen Lefevre, Bryan Perozzi, Karthik Raman, Steffen Rendle, Xiao YuEdith Cohen, Ariel Fuxman, D. Sculley, Isabelle Stanton, Martin Zinkevich, Amr Ahmed, Azin Ashkan, Michael Bendersky, James Cook, Nan Du, Balaji Gopalan, Samuel Huston, Konstantinos Kollias, James Kunz, Liang Tang, Morteza ZadimoghaddamAwardsBryan PerozziLocal Modeling of Attributed Graphs: Algorithms and ApplicationsAlex BeutelUser Behavior Modeling with Large-Scale Graph AnalysisPapersEgo-Splitting Framework: from Non-Overlapping to Overlapping ClustersAlessandro Epasto, Silvio Lattanzi, Renato Paes LemeHyperLogLog Hyperextended: Sketches for Concave Sublinear Frequency StatisticsEdith CohenGoogle Vizier: A Service for Black-Box OptimizationDaniel Golovin, Benjamin Solnik, Subhodeep Moitra, Greg Kochanski, John Karro, D. SculleyQuick Access: Building a Smart Experience for Google DriveSandeep Tata, Alexandrin Popescul, Marc Najork, Mike Colagrosso, Julian Gibbons, Alan Green, Alexandre Mah, Michael Smith, Divanshu Garg, Cayden Meyer, Reuben KanPapersTFX: A TensorFlow Based Production Scale Machine Learning PlatformDenis 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, Clemens Mewald, Akshay Modi, Neoklis Polyzotis, Sukriti Ramesh, Sudip Roy, Steven Whang, Martin Wicke, Jarek Wilkiewicz, Xin Zhang, Martin ZinkevichConstruction of Directed 2K GraphsBalint Tillman, Athina Markopoulou, Carter T. Butts, Minas GjokaA Practical Algorithm for Solving the Incoherence Problem of Topic Models In Industrial Applications Amr Ahmed, James Long, Dan Silva, Yuan WangTrain and Distribute: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks Heng-Tze Cheng, Lichan Hong, Mustafa Ispir, Clemens Mewald, Zakaria Haque, Illia Polosukhin, Georgios Roumpos, D Sculley, Jamie Smith, David Soergel, Yuan Tang, Philip Tucker, Martin Wicke, Cassandra Xia, Jianwei XieLearning to Count Mosquitoes for the Sterile Insect TechniqueYaniv Ovadia, Yoni Halpern, Dilip Krishnan, Josh Livni, Daniel Newburger, Ryan Poplin, Tiantian Zha, D. SculleyWorkshops13th International Workshop on Mining and Learning with GraphsVahab Mirrokni - Distributed Graph Mining: Theory and PracticeHARP: Hierarchical Representation Learning for NetworksHaochen Chen, Bryan Perozzi, Yifan Hu and Steven SkienaFairness, Accountability, and Transparency in Machine LearningFair Clustering Through Fairlets Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, Sergei VassilvitskiiData Decisions and Theoretical Implications when Adversarially Learning Fair RepresentationsAlex Beutel, Jilin Chen, Zhe Zhao, Ed H. ChiTutorialTensorFlowRajat Monga, Martin Wicke, Daniel ‘Wolff’ Dobson, Joshua Gordon