Next
Livestream will start soon!
Livestream has already ended.
Presentation has not been recorded yet!
  • title: MatKG: The largest knowledge graph in Materials Science: Data curation and visualization Discovery through graph representation learning
      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
            MatKG: The largest knowledge graph in Materials Science: Data curation and visualization Discovery through graph representation learning
            • Settings
            • Sync diff
            • Quality
            • Settings
            • Server
            • Quality
            • Server

            MatKG: The largest knowledge graph in Materials Science: Data curation and visualization Discovery through graph representation learning

            Dec 2, 2022

            Speakers

            VV

            Vineeth Venugopal

            Speaker · 0 followers

            SP

            Sumit Pai

            Speaker · 0 followers

            EO

            Elsa Olivetti

            Speaker · 0 followers

            About

            This paper introduces MatKG, a novel graph database of key concepts in material science spanning the traditional material-structure-property-processing paradigm. MatKG is autonomously generated through transformer-based, large language models and generates pseudo ontological schema through statistical co-occurrence mapping. At present, MatKG contains over 2 million unique relationship triples derived from 80,000 entities. This allows the curated analysis, querying, and visualization of materials…

            Organizer

            N2
            N2

            NeurIPS 2022

            Account · 952 followers

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

            Professional recording and live streaming, delivered globally.

            Sharing

            Recommended Videos

            Presentations on similar topic, category or speaker

            Reinforcement Learning with a Terminator
            04:51

            Reinforcement Learning with a Terminator

            Guy Tennenholtz, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            Beyond Safety: Toward a Value-Sensitive Approach to the Design of AI Systems.
            04:03

            Beyond Safety: Toward a Value-Sensitive Approach to the Design of AI Systems.

            Alexander J. Fiannaca, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            A Spectral Approach to Item Response Theory
            05:01

            A Spectral Approach to Item Response Theory

            Duc Nguyen, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?
            01:02

            Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

            Alexander Korotin, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection
            04:42

            DTG-SSOD: Dense Teacher Guidance for Semi-Supervised Object Detection

            Gang Li, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Systems
            04:57

            Using Interventions to Improve Out-of-Distribution Generalization of Text-Matching Systems

            Parikshit Bansal, …

            N2
            N2
            NeurIPS 2022 2 years ago

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

            Interested in talks like this? Follow NeurIPS 2022