Lossless Compression of Structured Convolutional Models via Lifting

13 July 2020

Papers citing "Lossless Compression of Structured Convolutional Models via Lifting"

10 / 10 papers shown

Title
Neural Probabilistic Logic Programming in DeepProbLog Robin Manhaeve Sebastijan Dumancic Angelika Kimmig T. Demeester Luc de Raedt NAI 78 553 0 18 Jul 2019
Synthesizing Datalog Programs Using Numerical Relaxation X. Si Mukund Raghothaman K. Heo Mayur Naik 56 52 0 01 Jun 2019
Fast Graph Representation Learning with PyTorch Geometric Matthias Fey J. E. Lenssen 3DH GNN 3DPC 191 4,326 0 06 Mar 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 535 8,496 0 03 Jan 2019
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 210 7,623 0 01 Oct 2018
Learning Explanatory Rules from Noisy Data Richard Evans Edward Grefenstette 111 483 0 13 Nov 2017
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 174 4,807 0 17 Mar 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 672 3,274 0 24 Nov 2016
Bisimulation-based Approximate Lifted Inference Prithviraj Sen Amol Deshpande Lise Getoor 76 61 0 09 May 2012
Lifted Graphical Models: A Survey Lilyana Mihalkova Lise Getoor 3DV 104 96 0 25 Jul 2011