Kronecker Graphs: An Approach to Modeling Networks

29 December 2008

Papers citing "Kronecker Graphs: An Approach to Modeling Networks"

50 / 194 papers shown

Title
Inference for Network Structure and Dynamics from Time Series Data via Graph Neural Network Mengyuan Chen Jiang Zhang Zhang Zhang Lun Du Qiao Hu Shuo Wang Jiaqi Zhu AI4CE 6 7 0 18 Jan 2020
Understanding the Limitations of Network Online Learning Timothy LaRock Timothy Sakharov Sahely Bhadra Tina Eliassi-Rad 6 5 0 09 Jan 2020
A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs Jiajia Li M. Lakshminarasimhan Xiaolong Wu Ang Li C. Olschanowsky Kevin J. Barker 8 3 0 02 Jan 2020
KoPA: Automated Kronecker Product Approximation Chencheng Cai Rong Chen Han Xiao 8 12 0 05 Dec 2019
Disentangling Interpretable Generative Parameters of Random and Real-World Graphs Niklas Stoehr Emine Yilmaz Marc Brockschmidt Jan Stuehmer BDL CML DRL 11 14 0 12 Oct 2019
Efficient Graph Generation with Graph Recurrent Attention Networks Renjie Liao Yujia Li Yang Song Shenlong Wang C. Nash William L. Hamilton D. Duvenaud R. Urtasun R. Zemel GNN 12 325 0 02 Oct 2019
Deep Generative Model for Sparse Graphs using Text-Based Learning with Augmentation in Generative Examination Networks R. V. Deursen Guillaume Godin 6 1 0 24 Sep 2019
Further results on structured regression for multi-scale networks Milan Basic Branko Arsić Z. Obradovic BDL 13 0 0 02 Sep 2019
Benchmarks for Graph Embedding Evaluation Palash Goyal Di Huang Ankita Goswami Sujit Rokka Chhetri A. Canedo Emilio Ferrara 9 15 0 19 Aug 2019
Distributed Edge Partitioning for Trillion-edge Graphs Masatoshi Hanai Toyotaro Suzumura Wen Jun Tan Elvis S. Liu Georgios Theodoropoulos Wentong Cai 4 53 0 16 Aug 2019
Automatic Discovery of Families of Network Generative Processes Telmo Menezes Camille Roth 11 2 0 26 Jun 2019
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures Ruo-Chun Tzeng Shan-Hung Wu GNN 6 13 0 23 Jun 2019
Popularity Prediction on Social Platforms with Coupled Graph Neural Networks Qi Cao Huawei Shen Jinhua Gao Bingzheng Wei Xueqi Cheng GNN 6 130 0 21 Jun 2019
Scalable Generative Models for Graphs with Graph Attention Mechanism Wataru Kawai Yusuke Mukuta Tatsuya Harada GNN 6 17 0 05 Jun 2019
Linear Work Generation of R-MAT Graphs Lorenz Hübschle-Schneider Peter Sanders 23 12 0 09 May 2019
Single Machine Graph Analytics on Massive Datasets Using Intel Optane DC Persistent Memory G. Gill Roshan Dathathri Loc Hoang R. Peri K. Pingali GNN 17 79 0 15 Apr 2019
Scaling Up Collaborative Filtering Data Sets through Randomized Fractal Expansions Francois Belletti K. Lakshmanan Walid Krichene Nicolas Mayoraz Yi-Fan Chen John R. Anderson Taylor Robie Tayo Oguntebi Dan Shirron Amit Bleiwess 23 5 0 08 Apr 2019
More Parallelism in Dijkstra's Single-Source Shortest Path Algorithm Michael Kainer J. L. Traff 8 6 0 28 Mar 2019
Learning Discrete Structures for Graph Neural Networks Luca Franceschi Mathias Niepert Massimiliano Pontil X. He GNN 11 407 0 28 Mar 2019
Bayesian Model Selection with Graph Structured Sparsity Youngseok Kim Chao Gao 10 7 0 08 Feb 2019
Heterogeneous Network Motifs Ryan A. Rossi Nesreen Ahmed Aldo G. Carranza David Arbour Anup B. Rao Sungchul Kim Eunyee Koh 13 22 0 28 Jan 2019
Scalable Realistic Recommendation Datasets through Fractal Expansions Francois Belletti K. Lakshmanan Walid Krichene Yi-Fan Chen John R. Anderson 17 19 0 23 Jan 2019
Deep Generative Graph Distribution Learning for Synthetic Power Grids Mahdi Khodayar Jianhui Wang Zhaoyu Wang 11 0 0 17 Jan 2019
Learning Vertex Representations for Bipartite Networks Ming Gao Xiangnan He Leihui Chen Tingting Liu Jinglin Zhang Aoying Zhou 11 22 0 16 Jan 2019
DRONE: a Distributed Subgraph-Centric Framework for Processing Large Scale Power-law Graphs Xiaole Wen Shuai Zhang Haihang You GNN 8 0 0 11 Dec 2018
SepNE: Bringing Separability to Network Embedding Ziyao Li Liang Zhang Guojie Song GNN 9 13 0 14 Nov 2018
Machine Learning in Network Centrality Measures: Tutorial and Outlook F. Grando L. Granville Luís C. Lamb 20 55 0 28 Oct 2018
Network Classification Based Structural Analysis of Real Networks and their Model-Generated Counterparts Marcell Nagy Roland Molontay GNN 9 5 0 19 Oct 2018
Sampling Theory for Graph Signals on Product Graphs R. Varma J. Kovacevic 6 9 0 26 Sep 2018
Motifs, Coherent Configurations and Second Order Network Generation J. Bronski T. Ferguson 20 1 0 13 Aug 2018
Growing Better Graphs With Latent-Variable Probabilistic Graph Grammars Xinyi Wang Salvador Aguiñaga Tim Weninger David Chiang 20 1 0 11 Jun 2018
Constrained Graph Variational Autoencoders for Molecule Design Qi Liu Miltiadis Allamanis Marc Brockschmidt Alexander L. Gaunt BDL 6 448 0 23 May 2018
Semi-Blind Inference of Topologies and Dynamical Processes over Graphs V. Ioannidis Yanning Shen G. Giannakis 14 57 0 16 May 2018
Predicting Graph Categories from Structural Properties James P. Canning Emma E. Ingram Sammantha Nowak-Wolff Adriana M. Ortiz Nesreen Ahmed Ryan A. Rossi Karl R. B. Schmitt S. Soundarajan 14 10 0 07 May 2018
Graphite: Iterative Generative Modeling of Graphs Aditya Grover Aaron Zweig Stefano Ermon BDL 8 295 0 28 Mar 2018
Learning Deep Generative Models of Graphs Yujia Li Oriol Vinyals Chris Dyer Razvan Pascanu Peter W. Battaglia GNN AI4CE 18 650 0 08 Mar 2018
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models Jiaxuan You Rex Ying Xiang Ren William L. Hamilton J. Leskovec GNN BDL 6 824 0 24 Feb 2018
Scalable Label Propagation for Multi-relational Learning on the Tensor Product of Graphs Zhuliu Li Raphael Petegrosso Shaden Smith David Sterling George Karypis R. Kuang 19 2 0 20 Feb 2018
Steering Social Activity: A Stochastic Optimal Control Point Of View Ali Zarezade A. De U. Upadhyay Hamid R. Rabiee Manuel Gomez Rodriguez LLMSV 18 34 0 19 Feb 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 14 211 0 14 Feb 2018
Community Detection in Partially Observable Social Networks Cong Tran Won-Yong Shin Andreas Spitz 19 32 0 30 Dec 2017
Inference of Spatio-Temporal Functions over Graphs via Multi-Kernel Kriged Kalman Filtering V. Ioannidis Daniel Romero G. Giannakis 19 29 0 25 Nov 2017
Multi-Objective Maximization of Monotone Submodular Functions with Cardinality Constraint R. Udwani 14 31 0 17 Nov 2017
Learning Graph Topological Features via GAN Weiyi Liu Hal Cooper Min Hwan Oh Fucai Yu Pin-Yu Chen Toyotaro Suzumura Guangmin Hu GAN AI4CE 15 25 0 11 Sep 2017
Estimation of a Low-rank Topic-Based Model for Information Cascades Ming Yu Varun Gupta Mladen Kolar 22 7 0 06 Sep 2017
Using Graph Properties to Speed-up GPU-based Graph Traversal: A Model-driven Approach Merijn Verstraaten A. Varbanescu C. D. Laat 18 2 0 03 Aug 2017
Optimal modularity and memory capacity of neural reservoirs Nathaniel Rodriguez E. Izquierdo Yong-Yeol Ahn 14 45 0 20 Jun 2017
Vectorization of Hybrid Breadth First Search on the Intel Xeon Phi Mireya Paredes Graham D. Riley M. Luján 14 4 0 07 Apr 2017
A Comparison of Parallel Graph Processing Implementations Samuel D. Pollard Boyana Norris 15 12 0 06 Apr 2017
Horde of Bandits using Gaussian Markov Random Fields Sharan Vaswani Mark W. Schmidt L. Lakshmanan 6 14 0 07 Mar 2017