Oct. 01, 2021 >> All KDD 2021 content that had speaker permission granted is now available on YouTube at this link [ KDD 2021 Youtube playlist] .

Aug. 05, 2021 >> SIGKDD awards 2021 are announced at here.

Aug. 05, 2021 >> The program overview for KDD 2021 is available at here.

Aug. 04, 2021 >> The full program schedule for KDD 2021 is available at here.

July. 19, 2021 >> New Feature! All registered participants can now access paper videos on our virtual platform, and interact with authors by live chatting with Rocket.Chat, so that they can better digest the papers and engage more productively in the live session during the conference.

July. 17, 2021 >> We have added PC and SPC members of Research Track and ADS at here.

June. 23, 2021 >> We are thrilled to announce that KDD 2021 will feature 4 keynote speakers and 20 ADS invited speakers! All talk information are available at keynotes and ADS talks.

June. 16, 2021 >> Accepted paper lists for both Research and ADS track have been uploaded at https://kdd.org/kdd2021/accepted-papers/index.html.

May. 26, 2021 >> Call for Contributed Talks for Deep Learning Day.

May. 18, 2021 >> For authors of accepted papers of both Research and ADS track, please carefully read the instructions at this page.

May. 4, 2021 >> 2021 SIGKDD TEST OF TIME AWARD: CALL FOR NOMINATIONS(Nomination Deadline: May 17, 2021)

Apr. 20, 2021 >> Registration for KDD 2021 is open at https://cvent.me/7yzg5r!

Apr. 2, 2021 >> 2021 SIGKDD DOCTORAL DISSERTATION AWARD: CALL FOR NOMINATIONS(Nomination Deadline: May 10, 2021)

Mar. 17, 2021 >> KDD Cup is open now: Multi-dataset Time Series Anomaly Detection, OGB Large-Scale Challenge (OGB-LSC) and City Brain Challenge!

Mar. 16, 2021 >> CALL FOR NOMINATIONS: ACM SIGKDD 2021 INNOVATION, SERVICE, AND RISING STAR AWARDS

Jan. 24, 2021 >> KDD Cup proposal submission deadline on February 19 is coming!

Jan. 10, 2021 >> Welcome!  SIGKDD 2021 is officially going virtual.

Jan. 10, 2021 >> Paper submission is open for both research track and applied data science track!

Jan. 10, 2021 >> To highlight, the Applied Data Science Track is distinct from the Research Track in that submissions should focus on applied work addressing real-world problems and systems demonstrating tangible impact/value in their respective domains.  It is required that a submission clearly specifies an audience or a group of users that have evidently benefited or will benefit from the solution presented in the submission.  Please note that papers that do not satisfy the requirements (e.g., a research track paper) might be rejected without a formal review.  Authors are strongly recommended to check out the CFPs carefully.