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Access the videos, best paper awards, and general instructions for the KDD 2020 Virtual Conference on Knowledge Discovery and Data Mining. Learn how to use VFairs and Whova platforms to join the conference, network with attendees, and interact with sponsors.
A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks Authors: Jianing Sun: Huawei Technologies Canada; Wei Guo: Huawei Noah's Ark Lab; Dengcheng Zhang: Huawei Distributed and Parallel Software Lab; Yingxue Zhang: Huawei Technologies Canada; Florence Robert-Regol: McGill University; Yaochen Hu: Huawei Technologies Canada; Huifeng Guo: Huawei ...
Index of /kdd2020/accepted-papers/Index of /kdd2020/accepted-papers/
KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining Virtual Event CA USA July 6 - 10, 2020
Rajesh Gupta, Yan Liu, Jiliang Tang, B. Aditya Prakash: KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Virtual Event, CA, USA, August 23-27, 2020. ACM 2020, ISBN 978-1-4503-7998-4Bibliographic content of KDD 2020
KDD 2020 Showcases Brightest Minds in Data Science and AI World's Largest and Oldest Data Mining Conference Goes Virtual for the First Time New York, NY, August 21, 2020 - The Association for Computing Machinery's Special Interest Group on Knowledge Discovery and Data Mining (ACM SIGKDD) will hold its flagship annual conference, KDD 2020, virtually, August 23-27. The KDD conference ...
KDD2020 Tutorial: Adversarial Attacks and Defenses: Frontiers, Advances and Practice
["2nd Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2020"]
Using an interactive VR platform, KDD-2020 brings you the latest research in AI, Data Science, Deep Learning, and Machine Learning with tutorials to improve your skills, keynotes from top experts, workshops on state-of-the-art topics and over 200 research presentations.
"KDD is a 'must attend' conference, where the theory and practice in data science, machine learning and artificial intelligence come together in industry-defining innovations," explained KDD 2020 General Co-chair Rajesh K. Gupta, University of California, San Diego. "Initially we had hoped that at least a portion of the conference could be 'in-person,' but ultimately we decided a ...