Relational Graph Representation Learning for Predicting Object Affordances

Toumpa, A orcid.org/0000-0003-4438-6809 and Cohn, A (2019) Relational Graph Representation Learning for Predicting Object Affordances. In: NeurIPS 2019: 33rd Conference on Neural Information Processing Systems, 08-14 Dec 2019, Vancouver, Canada.

Abstract

Metadata

Item Type: Conference or Workshop Item
Authors/Creators:
Copyright, Publisher and Additional Information:

This is a conference paper presented at NeurIPS 2019: 33rd Conference on Neural Information Processing Systems workshop Graph Representation Learning.

Dates:
  • Published: 14 October 2019
  • Accepted: 1 October 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 28 Oct 2019 10:00
Last Modified: 14 Dec 2019 01:40
Published Version: https://grlearning.github.io/papers/67.pdf
Status: Published
Related URLs:
Open Archives Initiative ID (OAI ID):

Export

Statistics