Covariant Compositional Networks For Learning Graphs

Risi Kondor, Hy Truong Son, Horace Pan, Brandon Anderson, Shubhendu Trivedi

Type: Preprint

Publication Date: 2018-01-01

Citations: 91

DOI: https://doi.org/10.48550/arxiv.1801.02144

Similar Works

Action	Title	Year	Authors
+	None	1999	Ming Liao
+	None	2001	I. N. Kostin
+	None	1999	Yong-Gao Chen Imre Z. Ruzsa
+	None	2003	Paul Sablonnière
+	None	2001	Emmanuel Fragnière Jacek Gondzio Robert Sarkissian
+	None	1998	G. Sardanashvily
+	None	1998	Hans Keiding
+	None	2003	Haihua Feng Vincenzo Galdi David A. Castañón
+	None	2003	V. Z. Kanchukoev B. S. Karamurzov В. А. Созаев Vladimir Chernov
+	None	2001	Petr Habala Nicole Tomczak-Jaegermann
+	None	2001	S. E. Kozlov
+ PDF Chat	None	2008	田村直義
+	None	2001	Joaquin Soriano
+	None	2001	Shigetaka Fukuda
+	None	2003	Solomon Friedberg
+	None	2003	Igor Belegradek
+	None	1997	Salih Çelïk
+	None	2001	M. de Montigny Hubert de Guise
+	None	2001	A. Yu. Kolesov Н. Х. Розов
+	None	2002	D. G. Djumbayeva Erlan Nursultanov

Action	Title	Year	Authors
+ PDF Chat	Multiresolution equivariant graph variational autoencoder	2023	Truong Son Hy Risi Kondor
+	Universal Equivariant Multilayer Perceptrons	2020	Siamak Ravanbakhsh
+	3D G-CNNs for Pulmonary Nodule Detection	2018	Marysia Winkels Taco Cohen
+	A Survey on The Expressive Power of Graph Neural Networks	2020	Ryoma Sato
+	Reducing the dilution: An analysis of the information sensitiveness of capsule network with a practical improvement method	2019	Zonglin Yang Xinggang Wang
+	Equivariant Maps for Hierarchical Structures	2020	Renhao Wang Marjan Albooyeh Siamak Ravanbakhsh
+	Hierarchical Graph-to-Graph Translation for Molecules	2019	Wengong Jin Regina Barzilay Tommi Jaakkola
+	On the Universality of Rotation Equivariant Point Cloud Networks	2020	Nadav Dym Haggai Maron
+	Discriminative Learning of Similarity and Group Equivariant Representations.	2018	Shubhendu Trivedi
+	Geometric Scattering for Graph Data Analysis	2018	Feng Gao Guy Wolf Matthew Hirn

Action	Title	Year	Authors
+	Gated Graph Sequence Neural Networks	2016	Yujia Li Daniel Tarlow Marc Brockschmidt Richard S. Zemel
+ PDF Chat	Molecular graph convolutions: moving beyond fingerprints	2016	Steven Kearnes Kevin McCloskey Marc Berndl Vijay S. Pande Patrick Riley
+	The Multiscale Laplacian Graph Kernel	2016	Risi Kondor Horace Pan
+	Learning Convolutional Neural Networks for Graphs	2016	Mathias Niepert Mohamed M. Ahmed Konstantin Kutzkov
+ PDF Chat	Quantum-chemical insights from deep tensor neural networks	2017	Kristof T. Schütt Farhad Arbabzadah Stefan Chmiela K. Müller Alexandre Tkatchenko
+ PDF Chat	Harmonic Networks: Deep Translation and Rotation Equivariance	2017	Daniel E. Worrall Stephan J. Garbin Daniyar Turmukhambetov Gabriel Brostow
+	Neural Message Passing for Quantum Chemistry	2017	Justin Gilmer Samuel S. Schoenholz Patrick Riley Oriol Vinyals George E. Dahl
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling
+	Convolutional Networks on Graphs for Learning Molecular Fingerprints	2015	David Duvenaud Dougal Maclaurin Jorge Aguilera‐Iparraguirre Rafael Gómez‐Bombarelli Timothy Hirzel Alán Aspuru‐Guzik Ryan P. Adams
+	Spectral Networks and Locally Connected Networks on Graphs	2013	Joan Bruna Wojciech Zaremba Arthur Szlam Yann LeCun