[PDF] GRAPH ATTENTION NETWORKS - Mila Quebec PDF d1ac95b60310f43bb5a0b8024522fbe08fb2a482.pdf

Published as a conference paper at ICLR 2018 GRAPH our model is upper- bounded by the depth of the network (similarly as for GCN and similar models)

Kipf Welling (ICLR 2017), related previous works by Duvenaud et al (NIPS 2015) and Li et al (ICLR 2016) How do we use GNN / GCN for real problems?

[PDF] Simple and Deep Graph Convolutional Networks - Proceedings of

nodes in GCN are inclined to converge to a certain value and thus problem ( Kipf Welling, 2017); deep GCN models are still In ICLR Workshop on Repre-

Published as a conference paper at ICLR 2020 more from pre-training compared to those with less expressive power (e g , GCN (Kipf Welling, 2017)

Published as a conference paper at ICLR 2018 GRAPH our model is upper- bounded by the depth of the network (similarly as for GCN and similar models)

GCN (ICLR, 2017) □ GraphSAGE (NeurIPS, 2017) □ GAT (ICLR, 2018) Deep Learning on Graphs, A Survey IEEE TKDE, 2020 ICLR20 Keyword Change

24 mar 2020 · (ICLR 2016), R-GCN: Schlichtkrull et al (2017) Adding support for relation Graph Convolutional Networks (Kipf and Welling, ICLR 2017)