Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs

15 March 2025

Papers citing "Probabilistic Graph Circuits: Deep Generative Models for Tractable Probabilistic Inference over Graphs"

32 / 32 papers shown

Title
What is the Relationship between Tensor Factorizations and Circuits (and How Can We Exploit it)? Lorenzo Loconte Antonio Mari G. Gala Robert Peharz Cassio de Campos Erik Quaeghebeur G. Vessio Antonio Vergari 81 11 0 12 Sep 2024
Subtractive Mixture Models via Squaring: Representation and Learning Lorenzo Loconte Aleksanteri Sladek Stefan Mengel Martin Trapp Arno Solin Nicolas Gillis Antonio Vergari TPM 85 21 0 01 Oct 2023
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks Federico Errica Mathias Niepert TPM 60 5 0 17 May 2023
Understanding the Distillation Process from Deep Generative Models to Tractable Probabilistic Circuits Xuejie Liu Hoang Trung-Dung Guy Van den Broeck Yitao Liang TPM 44 14 0 16 Feb 2023
Scaling Up Probabilistic Circuits by Latent Variable Distillation Hoang Trung-Dung Honghua Zhang Guy Van den Broeck TPM 48 27 0 10 Oct 2022
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators Karolis Martinkus Andreas Loukas Nathanael Perraudin Roger Wattenhofer 62 68 0 04 Apr 2022
A Survey on Deep Graph Generation: Methods and Applications Yanqiao Zhu Yuanqi Du Yinkai Wang Yichen Xu Jieyu Zhang Qiang Liu Shu Wu 3DV GNN 89 72 0 13 Mar 2022
Score-based Generative Modeling of Graphs via the System of Stochastic Differential Equations Jaehyeong Jo Seul Lee Sung Ju Hwang DiffM 63 224 0 05 Feb 2022
Tractable Regularization of Probabilistic Circuits Hoang Trung-Dung Guy Van den Broeck TPM 49 33 0 04 Jun 2021
GraphDF: A Discrete Flow Model for Molecular Graph Generation Youzhi Luo Keqiang Yan Shuiwang Ji DRL 220 199 0 01 Feb 2021
GraphEBM: Molecular Graph Generation with Energy-Based Models Meng Liu Keqiang Yan Bora Oztekin Shuiwang Ji 64 88 0 31 Jan 2021
MoFlow: An Invertible Flow Model for Generating Molecular Graphs Chengxi Zang Fei Wang BDL 118 293 0 17 Jun 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 133 1,088 0 21 Feb 2020
GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation Chence Shi Minkai Xu Zhaocheng Zhu Weinan Zhang Ming Zhang Jian Tang 162 437 0 26 Jan 2020
Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao Yujia Li Yang Song Shenlong Wang C. Nash William L. Hamilton David Duvenaud R. Urtasun R. Zemel GNN 127 334 0 02 Oct 2019
Graph Normalizing Flows Jenny Liu Aviral Kumar Jimmy Ba J. Kiros Kevin Swersky BDL GNN AI4CE 70 164 0 30 May 2019
GraphNVP: An Invertible Flow Model for Generating Molecular Graphs Kaushalya Madhawa Katushiko Ishiguro Kosuke Nakago Motoki Abe BDL 100 192 0 28 May 2019
Bayesian Learning of Sum-Product Networks Martin Trapp Robert Peharz Hong Ge Franz Pernkopf Zoubin Ghahramani TPM 52 51 0 26 May 2019
GNNExplainer: Generating Explanations for Graph Neural Networks Rex Ying Dylan Bourgeois Jiaxuan You Marinka Zitnik J. Leskovec LLMAG 135 1,319 0 10 Mar 2019
Relational Pooling for Graph Representations R. Murphy Balasubramaniam Srinivasan Vinayak A. Rao Bruno Ribeiro GNN 125 261 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 750 8,517 0 03 Jan 2019
Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders Tengfei Ma Jie Chen Cao Xiao 116 209 0 07 Sep 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 287 3,128 0 09 Jul 2018
Constrained Graph Variational Autoencoders for Molecule Design Qi Liu Miltiadis Allamanis Marc Brockschmidt Alexander L. Gaunt BDL 69 455 0 23 May 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 99 303 0 28 Mar 2018
Fréchet ChemNet Distance: A metric for generative models for molecules in drug discovery Kristina Preuer Philipp Renz Thomas Unterthiner Sepp Hochreiter Günter Klambauer MedIm 93 338 0 26 Mar 2018
NetGAN: Generating Graphs via Random Walks Aleksandar Bojchevski Oleksandr Shchur Daniel Zügner Stephan Günnemann GAN GNN 167 361 0 02 Mar 2018
NeVAE: A Deep Generative Model for Molecular Graphs Bidisha Samanta A. De G. Jana P. Chattaraj Niloy Ganguly Manuel Gomez Rodriguez GNN DRL BDL DiffM 60 217 0 14 Feb 2018
GraphVAE: Towards Generation of Small Graphs Using Variational Autoencoders M. Simonovsky N. Komodakis GNN BDL 107 849 0 09 Feb 2018
Modeling Relational Data with Graph Convolutional Networks Michael Schlichtkrull Thomas Kipf Peter Bloem Rianne van den Berg Ivan Titov Max Welling GNN 183 4,812 0 17 Mar 2017
Bayesian Models of Graphs, Arrays and Other Exchangeable Random Structures Peter Orbanz Daniel M. Roy 154 245 0 30 Dec 2013
A Knowledge Compilation Map Adnan Darwiche Pierre Marquis 82 950 0 09 Jun 2011