SlidesLive
Categories
EN
Log in Talk to sales
Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: p-Laplacian Based Graph Neural Networks
       0:00 / 0:00
      • Report Issue
      • Settings
      • Playlists
      • Bookmarks
      • Subtitles Off
      • Playback rate
      • Quality
      • Settings
      • Debug information
      • Server sl-yoda-v2-stream-007-alpha.b-cdn.net
      • Subtitles size Medium
      • Bookmarks
      • Server
      • sl-yoda-v2-stream-007-alpha.b-cdn.net
      • sl-yoda-v2-stream-007-beta.b-cdn.net
      • 1678031076.rsc.cdn77.org
      • 1932936657.rsc.cdn77.org
      • Subtitles
      • Off
      • English
      • Playback rate
      • Quality
      • Subtitles size
      • Large
      • Medium
      • Small
      • Mode
      • Video Slideshow
      • Audio Slideshow
      • Slideshow
      • Video
      My playlists
        Bookmarks
          00:00:00
            p-Laplacian Based Graph Neural Networks
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            p-Laplacian Based Graph Neural Networks

            Jul 19, 2022

            Speakers

            GF

            Guoji Fu

            Speaker · 0 followers

            PZ

            Peilin Zhao

            Speaker · 0 followers

            YB

            Yatao Bian

            Speaker · 0 followers

            Organizer

            I2
            I2

            ICML 2022

            Account · 493 followers

            Like the format? Trust SlidesLive to capture your next event!

            Professional recording and live streaming, delivered globally.

            Learn more

            Sharing

            Recommended Videos

            Presentations on similar topic, category or speaker

            Data Determines Distributional Robustness in CLIP
            04:59

            Data Determines Distributional Robustness in CLIP

            Alex Fang, …

            I2
            I2
            ICML 2022 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Reconstructing the Universe with Variational self-Boosted Sampling
            16:57

            Reconstructing the Universe with Variational self-Boosted Sampling

            Chirag Modi, …

            I2
            I2
            ICML 2022 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            CODiT: Conformal Out-of-distribution Detection in Time-Series Data
            07:14

            CODiT: Conformal Out-of-distribution Detection in Time-Series Data

            Ramneet Kaur, …

            I2
            I2
            ICML 2022 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
            05:26

            Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets

            Tal Shnitzer, …

            I2
            I2
            ICML 2022 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Fictitious Play and Best-Response Dynamics in Identical Interest and Zero-Sum Stochastic Games
            05:03

            Fictitious Play and Best-Response Dynamics in Identical Interest and Zero-Sum Stochastic Games

            Lucas Baudin, …

            I2
            I2
            ICML 2022 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Revisiting the Effects of Stochasticity for Hamiltonian Samplers
            05:24

            Revisiting the Effects of Stochasticity for Hamiltonian Samplers

            Giulio Franzese, …

            I2
            I2
            ICML 2022 3 years ago

            Total of 0 viewers voted for saving the presentation to eternal vault which is 0.0%

            Interested in talks like this? Follow ICML 2022