15 code implementations • 7 Jun 2017 • Rianne van den Berg, Thomas N. Kipf, Max Welling
We consider matrix completion for recommender systems from the point of view of link prediction on graphs.
Ranked #4 on Recommendation Systems on YahooMusic Monti (using extra training data)
27 code implementations • 17 Mar 2017 • Michael Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, Max Welling
We demonstrate the effectiveness of R-GCNs as a stand-alone model for entity classification.
Ranked #1 on Node Classification on AIFB
21 code implementations • 21 Nov 2016 • Thomas N. Kipf, Max Welling
We introduce the variational graph auto-encoder (VGAE), a framework for unsupervised learning on graph-structured data based on the variational auto-encoder (VAE).
Ranked #1 on Link Prediction on Pubmed (ACC metric)
51 code implementations • 9 Sep 2016 • Thomas N. Kipf, Max Welling
We present a scalable approach for semi-supervised learning on graph-structured data that is based on an efficient variant of convolutional neural networks which operate directly on graphs.
Ranked #1 on Graph Property Prediction on ogbg-ppa