Partition and Code: learning how to compress graphs

Partition and Code: learning how to compress graphs

5 July 2021

Giorgos Bouritsas

Nikolaos Karalias

Papers citing "Partition and Code: learning how to compress graphs"

16 / 66 papers shown

Title
Mixed Precision Training Paulius Micikevicius Sharan Narang Jonah Alben G. Diamos Erich Elsen ... Boris Ginsburg Michael Houston Oleksii Kuchaiev Ganesh Venkatesh Hao Wu 157 1,799 0 10 Oct 2017
Bayesian stochastic blockmodeling Tiago P. Peixoto 60 202 0 29 May 2017
Bayesian Compression for Deep Learning Christos Louizos Karen Ullrich Max Welling UQCV BDL 166 479 0 24 May 2017
Neural Message Passing for Quantum Chemistry Justin Gilmer S. Schoenholz Patrick F. Riley Oriol Vinyals George E. Dahl 593 7,455 0 04 Apr 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 405 2,464 0 10 Mar 2017
Grammar Variational Autoencoder Matt J. Kusner Brooks Paige José Miguel Hernández-Lobato BDL DRL 85 843 0 06 Mar 2017
Variational Graph Auto-Encoders Thomas Kipf Max Welling GNN BDL SSL CML 151 3,586 0 21 Nov 2016
Nonparametric Bayesian inference of the microcanonical stochastic block model Tiago P. Peixoto 41 166 0 09 Oct 2016
Automatic chemical design using a data-driven continuous representation of molecules Rafael Gómez-Bombarelli Jennifer N. Wei David Duvenaud José Miguel Hernández-Lobato Benjamín Sánchez-Lengeling Dennis Sheberla J. Aguilera-Iparraguirre Timothy D. Hirzel Ryan P. Adams Alán Aspuru-Guzik 3DV 161 2,932 0 07 Oct 2016
Syntactically Informed Text Compression with Recurrent Neural Networks David D. Cox GNN 40 18 0 08 Aug 2016
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 477 2,570 0 25 Jan 2016
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding Song Han Huizi Mao W. Dally 3DGS 259 8,842 0 01 Oct 2015
Learning both Weights and Connections for Efficient Neural Networks Song Han Jeff Pool J. Tran W. Dally CVBM 313 6,681 0 08 Jun 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,660 0 09 Mar 2015
Parsimonious module inference in large networks Tiago P. Peixoto MoE 99 201 0 19 Dec 2012
Subgraph Matching Kernels for Attributed Graphs Nils Kriege Petra Mutzel 58 279 0 27 Jun 2012