TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning

v1v2 (latest)

TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning

21 June 2020

Patrick Schaumont

ArXiv (abs)PDF HTML

Papers citing "TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning"

8 / 8 papers shown

Title
Learning to Segment 3D Point Clouds in 2D Image Space Yecheng Lyu Xinming Huang Ziming Zhang 3DPC 63 52 0 12 Mar 2020
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels Rami Al-Rfou Dustin Zelle Bryan Perozzi 48 57 0 21 Apr 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 229 4,341 0 06 Mar 2019
Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks Songlin Yang Shawn Tan Alessandro Sordoni Aaron Courville 120 324 0 22 Oct 2018
Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks Christopher Morris Martin Ritzert Matthias Fey William L. Hamilton J. E. Lenssen Gaurav Rattan Martin Grohe GNN 192 1,636 0 04 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 243 7,653 0 01 Oct 2018
Learning Convolutional Neural Networks for Graphs Mathias Niepert Mohamed Ahmed Konstantin Kutzkov GNN SSL 138 2,154 0 17 May 2016
DeepWalk: Online Learning of Social Representations Bryan Perozzi Rami Al-Rfou Steven Skiena HAI 257 9,789 0 26 Mar 2014