Kronecker Graphs: An Approach to Modeling Networks

29 December 2008

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

50 / 194 papers shown

Title
Random Graphs by Product Random Measures C. Bastian H. Rabitz 4 1 0 27 Mar 2022
Improving the Level of Autism Discrimination through GraphRNN Link Prediction Haonan Sun Q. He Shouliang Qi Yudong Yao Yueyang Teng 12 0 0 19 Feb 2022
Learning Multi-agent Skills for Tabular Reinforcement Learning using Factor Graphs Jiayu Chen Jingdi Chen Tian-Shing Lan Vaneet Aggarwal 14 7 0 20 Jan 2022
Learning Multiresolution Matrix Factorization and its Wavelet Networks on Graphs Truong Son-Hy Risi Kondor 24 1 0 02 Nov 2021
On the Power of Edge Independent Graph Models Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis 17 15 0 29 Oct 2021
Unbiased Graph Embedding with Biased Graph Observations Nan Wang Lu Lin Jundong Li Hongning Wang CML 11 36 0 26 Oct 2021
Kronecker Decomposition for GPT Compression Ali Edalati Marzieh S. Tahaei Ahmad Rashid V. Nia J. Clark Mehdi Rezagholizadeh 34 33 0 15 Oct 2021
Latent Network Embedding via Adversarial Auto-encoders Minglong Lei Yong Shi Lingfeng Niu GNN 16 0 0 30 Sep 2021
Learning to maximize global influence from local observations Gábor Lugosi Gergely Neu Julia Olkhovskaya 15 0 0 24 Sep 2021
Integrating Transductive And Inductive Embeddings Improves Link Prediction Accuracy Chitrank Gupta Yash Jain A. De Soumen Chakrabarti AI4CE 13 4 0 23 Aug 2021
Unconditional Scene Graph Generation Sarthak Garg Helisa Dhamo Azade Farshad Sabrina Musatian Nassir Navab F. Tombari 10 22 0 12 Aug 2021
USCO-Solver: Solving Undetermined Stochastic Combinatorial Optimization Problems G. Tong 22 5 0 15 Jul 2021
Influence Estimation and Maximization via Neural Mean-Field Dynamics Shushan He H. Zha X. Ye DiffM 8 0 0 03 Jun 2021
Operator Autoencoders: Learning Physical Operations on Encoded Molecular Graphs Willis Hoke D. Shea S. Casey AI4CE 6 0 0 26 May 2021
SISA: Set-Centric Instruction Set Architecture for Graph Mining on Processing-in-Memory Systems Maciej Besta Raghavendra Kanakagiri Grzegorz Kwa'sniewski Rachata Ausavarungnirun Jakub Beránek ... Salvatore Di Girolamo Marek Konieczny Nils Blach O. Mutlu Torsten Hoefler 13 83 0 15 Apr 2021
Euler Meets GPU: Practical Graph Algorithms with Theoretical Guarantees Adam Polak Adrian Siwiec Michal Stobierski 14 2 0 28 Mar 2021
GraphMineSuite: Enabling High-Performance and Programmable Graph Mining Algorithms with Set Algebra Maciej Besta Zur Vonarburg-Shmaria Yannick Schaffner Leonardo Schwarz Grzegorz Kwa'sniewski ... Philipp Lindenberger Pavel Kalvoda Marek Konieczny O. Mutlu Torsten Hoefler 17 27 0 05 Mar 2021
In-game Residential Home Planning via Visual Context-aware Global Relation Learning Lijuan Liu Yin Yang Yi Yuan Tianjia Shao He-Nan Wang Kun Zhou 11 5 0 08 Feb 2021
Deep Graph Generators: A Survey Faezeh Faez Yassaman Ommi M. Baghshah Hamid R. Rabiee GNN AI4CE 34 56 0 31 Dec 2020
Building LEGO Using Deep Generative Models of Graphs Rylee Thompson Elahe Ghalebi Terrance Devries Graham W. Taylor GAN AI4CE 12 20 0 21 Dec 2020
Adversarial Permutation Guided Node Representations for Link Prediction Indradyumna Roy A. De Soumen Chakrabarti 22 14 0 13 Dec 2020
F-FADE: Frequency Factorization for Anomaly Detection in Edge Streams Yen-Yu Chang Pan Li R. Sosič M. Afifi M. Schweighauser J. Leskovec 6 51 0 09 Nov 2020
To Push or To Pull: On Reducing Communication and Synchronization in Graph Computations Maciej Besta Michal Podstawski Linus Groner Edgar Solomonik Torsten Hoefler 6 137 0 30 Oct 2020
Log(Graph): A Near-Optimal High-Performance Graph Representation Maciej Besta Dimitri Stanojevic Tijana Zivic Jagpreet Singh Maurice Hoerold Torsten Hoefler 12 39 0 29 Oct 2020
Heterogeneous Graphlets Ryan A. Rossi Nesreen Ahmed Aldo G. Carranza David Arbour Anup B. Rao Sungchul Kim Eunyee Koh 22 21 0 23 Oct 2020
SlimSell: A Vectorizable Graph Representation for Breadth-First Search Maciej Besta Florian Marending Edgar Solomonik Torsten Hoefler 57 64 0 19 Oct 2020
Evaluating the Cost of Atomic Operations on Modern Architectures Hermann Schweizer Maciej Besta Torsten Hoefler 15 90 0 19 Oct 2020
Accelerating Irregular Computations with Hardware Transactional Memory and Active Messages Maciej Besta Torsten Hoefler GNN 8 45 0 18 Oct 2020
Deep Generative Modeling in Network Science with Applications to Public Policy Research Gavin Hartnett R. Vardavas Lawrence Baker Michael Chaykowski C. Gibson F. Girosi David Kennedy Osonde A. Osoba 6 2 0 15 Oct 2020
Accurate, Efficient and Scalable Training of Graph Neural Networks Hanqing Zeng Hongkuan Zhou Ajitesh Srivastava R. Kannan Viktor Prasanna GNN 6 8 0 05 Oct 2020
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators S. Abadal Akshay Jain Robert Guirado Jorge López-Alonso Eduard Alarcón GNN 12 224 0 30 Sep 2020
StratLearner: Learning a Strategy for Misinformation Prevention in Social Networks G. Tong 6 10 0 29 Sep 2020
A New Perspective of Graph Data and A Generic and Efficient Method for Large Scale Graph Data Traversal Chenglong Zhang GNN 93 1 0 16 Sep 2020
Hierarchical community structure in networks Michael T. Schaub Jiaze Li Leto Peel 11 20 0 15 Sep 2020
High-Performance Parallel Graph Coloring with Strong Guarantees on Work, Depth, and Quality Maciej Besta Armon Carigiet Zur Vonarburg-Shmaria Kacper Janda Lukas Gianinazzi Torsten Hoefler 4 26 0 26 Aug 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey Mengmeng Yang Lingjuan Lyu Jun Zhao Tianqing Zhu Kwok-Yan Lam 13 134 0 09 Aug 2020
DINE: A Framework for Deep Incomplete Network Embedding Ke Hou Jiaying Liu Yin Peng Bo Xu Ivan Lee Feng Xia 16 3 0 09 Aug 2020
A Systematic Survey on Deep Generative Models for Graph Generation Xiaojie Guo Liang Zhao MedIm 15 145 0 13 Jul 2020
GraphOpt: Learning Optimization Models of Graph Formation Rakshit S. Trivedi Jiachen Yang H. Zha OffRL 9 17 0 07 Jul 2020
Scalable Deep Generative Modeling for Sparse Graphs H. Dai Azade Nazi Yujia Li Bo Dai Dale Schuurmans BDL 6 77 0 28 Jun 2020
Neural Ordinary Differential Equation Control of Dynamics on Graphs Thomas Asikis Lucas Böttcher Nino Antulov-Fantulin 12 42 0 17 Jun 2020
Network Diffusions via Neural Mean-Field Dynamics Shushan He H. Zha X. Ye DiffM 11 6 0 16 Jun 2020
DeepGG: a Deep Graph Generator Julian Stier Michael Granitzer GNN BDL 11 5 0 07 Jun 2020
Auto-decoding Graphs Sohil Shah V. Koltun GNN 18 4 0 04 Jun 2020
Autoregressive Identification of Kronecker Graphical Models Mattia Zorzi 14 16 0 29 Apr 2020
DegreeSketch: Distributed Cardinality Sketches on Massive Graphs with Applications Benjamin W. Priest 14 1 0 08 Apr 2020
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs Changmin Wu Giannis Nikolentzos Michalis Vazirgiannis GNN 19 10 0 02 Mar 2020
Permutation Invariant Graph Generation via Score-Based Generative Modeling Chenhao Niu Yang Song Jiaming Song Shengjia Zhao Aditya Grover Stefano Ermon DiffM 12 258 0 02 Mar 2020
Learning Product Graphs Underlying Smooth Graph Signals M. Lodhi W. Bajwa 17 8 0 26 Feb 2020
GraphGen: A Scalable Approach to Domain-agnostic Labeled Graph Generation Nikhil Goyal Harsh Jain Sayan Ranu 10 90 0 22 Jan 2020