Kronecker Graphs: An Approach to Modeling Networks

29 December 2008

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

50 / 194 papers shown

Title
Krony-PT: GPT2 compressed with Kronecker Products M. Ayoub Ben Ayad Jelena Mitrović Michael Granitzer 65 0 0 16 Dec 2024
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences Erica Coppolillo Simone Mungari E. Ritacco Francesco Fabbri Marco Minici Francesco Bonchi Giuseppe Manco 16 0 0 24 Sep 2024
GenRec: A Flexible Data Generator for Recommendations Erica Coppolillo Simone Mungari E. Ritacco Giuseppe Manco 16 1 0 23 Jul 2024
Large Generative Graph Models Yu Wang Ryan A. Rossi Namyong Park Huiyuan Chen Nesreen K. Ahmed Puja Trivedi Franck Dernoncourt Danai Koutra Tyler Derr AI4CE 21 3 0 07 Jun 2024
Protein pathways as a catalyst to directed evolution of the topology of artificial neural networks Oscar Lao Konstantinos Zacharopoulos A. Fournaris Rossano Schifanella Ioannis Arapakis 26 0 0 07 Jun 2024
Learning to Solve Multiresolution Matrix Factorization by Manifold Optimization and Evolutionary Metaheuristics Truong Son-Hy Thieu Khang Risi Kondor 27 0 0 01 Jun 2024
Learning Sparse High-Dimensional Matrix-Valued Graphical Models From Dependent Data Jitendra Tugnait CML 14 2 0 29 Apr 2024
Leveraging advances in machine learning for the robust classification and interpretation of networks R. Appaw N. Fountain‐Jones M. A. Charleston 14 0 0 20 Mar 2024
Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation Keke Huang Ruize Gao Bogdan Cautis Xiaokui Xiao 23 3 0 05 Mar 2024
Position: Graph Foundation Models are Already Here Haitao Mao Zhikai Chen Wenzhuo Tang Jianan Zhao Yao Ma Tong Zhao Neil Shah Mikhail Galkin Jiliang Tang AI4CE 46 25 0 03 Feb 2024
Query-decision Regression between Shortest Path and Minimum Steiner Tree Guangmo Tong Peng Zhao Mina Samizadeh 11 0 0 03 Feb 2024
Unsupervised Learning of Graph from Recipes Aissatou Diallo Antonis Bikakis Luke Dickens Anthony Hunter Rob Miller SSL 12 0 0 22 Jan 2024
Fast Kronecker Matrix-Matrix Multiplication on GPUs Abhinav Jangda Mohit Yadav 13 2 0 18 Jan 2024
Machine Learning Insides OptVerse AI Solver: Design Principles and Applications Xijun Li Fangzhou Zhu Hui-Ling Zhen Weilin Luo Meng Lu ... Jia Zeng M. Yuan Jianye Hao Jun Yao Kun Mao 18 1 0 11 Jan 2024
Muchisim: A Simulation Framework for Design Exploration of Multi-Chip Manycore Systems Marcelo Orenes-Vera Esin Tureci M. Martonosi D. Wentzlaff 11 7 0 15 Dec 2023
On the Role of Edge Dependency in Graph Generative Models Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis 13 1 0 06 Dec 2023
Tascade: Hardware Support for Atomic-free, Asynchronous and Efficient Reduction Trees Marcelo Orenes-Vera Esin Tureci D. Wentzlaff M. Martonosi 11 2 0 27 Nov 2023
DCRA: A Distributed Chiplet-based Reconfigurable Architecture for Irregular Applications Marcelo Orenes-Vera Esin Tureci M. Martonosi D. Wentzlaff 14 2 0 26 Nov 2023
GraphMaker: Can Diffusion Models Generate Large Attributed Graphs? Mufei Li Eleonora Kreacic Vamsi K. Potluru Pan Li DiffM 22 7 0 20 Oct 2023
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability Zijie Geng Xijun Li Jie Wang Xiao Li Yongdong Zhang Feng Wu 36 16 0 04 Oct 2023
A novel analysis of utility in privacy pipelines, using Kronecker products and quantitative information flow Mário S. Alvim Natasha Fernandes Annabelle McIver Carroll Morgan Gabriel H. Nunes 8 5 0 22 Aug 2023
DYMOND: DYnamic MOtif-NoDes Network Generative Model Giselle Zeno Timothy La Fond Jennifer Neville 6 30 0 01 Aug 2023
Observe Locally, Classify Globally: Using GNNs to Identify Sparse Matrix Structure Khaled Abdelaal Richard Veras 17 1 0 26 Jul 2023
GraphRNN Revisited: An Ablation Study and Extensions for Directed Acyclic Graphs Taniya Das Mark Koch Maya Ravichandran Nikhil Khatri GNN 6 0 0 26 Jul 2023
A Survey on Enterprise Network Security: Asset Behavioral Monitoring and Distributed Attack Detection Minzhao Lyu Hassan Habibi Gharakheili V. Sivaraman 6 6 0 29 Jun 2023
Analysis and Approximate Inference of Large Random Kronecker Graphs Zhenyu Liao Yuanqian Xia Chengmei Niu Yong Xiao 61 0 0 14 Jun 2023
HiGen: Hierarchical Graph Generative Networks Mahdi Karami 31 4 0 30 May 2023
The Graph Database Interface: Scaling Online Transactional and Analytical Graph Workloads to Hundreds of Thousands of Cores Maciej Besta Robert Gerstenberger Marc Fischer Michal Podstawski Nils Blach ... Wojciech Chlapek M. Michalewicz H. Niewiadomski Juergen Mueller Torsten Hoefler 8 9 0 18 May 2023
Massive Data-Centric Parallelism in the Chiplet Era Marcelo Orenes-Vera Esin Tureci D. Wentzlaff M. Martonosi 8 6 0 19 Apr 2023
A Survey on Graph Diffusion Models: Generative AI in Science for Molecule, Protein and Material Mengchun Zhang Maryam Qamar Taegoo Kang Yuna Jung Chenshuang Zhang Sung-Ho Bae Chaoning Zhang DiffM MedIm 28 43 0 04 Apr 2023
FairGen: Towards Fair Graph Generation Lecheng Zheng Dawei Zhou Hanghang Tong Jiejun Xu Yada Zhu Jingrui He 17 7 0 30 Mar 2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? Chaoning Zhang Chenshuang Zhang Sheng Zheng Yu Qiao Chenghao Li ... Lik-Hang Lee Yang Yang Heng Tao Shen In So Kweon Choong Seon Hong 75 152 0 21 Mar 2023
On Hierarchical Multi-Resolution Graph Generative Models Mahdi Karami Jun Luo AI4CE 29 0 0 06 Mar 2023
NeuKron: Constant-Size Lossy Compression of Sparse Reorderable Matrices and Tensors Taehyung Kwon Jihoon Ko Jinhong Jung Kijung Shin 10 7 0 09 Feb 2023
AlignGraph: A Group of Generative Models for Graphs Kimia Shayestehfard Dana Brooks Stratis Ioannidis 18 0 0 26 Jan 2023
GraphGDP: Generative Diffusion Processes for Permutation Invariant Graph Generation Han Huang Leilei Sun Bowen Du Yanjie Fu Weifeng Lv DiffM 11 42 0 04 Dec 2022
Micro and Macro Level Graph Modeling for Graph Variational Auto-Encoders Kiarash Zahirnia Oliver Schulte Parmis Naddaf Ke Li 25 10 0 30 Oct 2022
Less is More: SlimG for Accurate, Robust, and Interpretable Graph Mining Jaemin Yoo Meng-Chieh Lee Shubhranshu Shekhar Christos Faloutsos 35 7 0 08 Oct 2022
Dynamic Tensor Product Regression Aravind Reddy Zhao-quan Song Licheng Zhang 37 20 0 08 Oct 2022
A Framework for Large Scale Synthetic Graph Dataset Generation Sajad Darabi P. Bigaj Dawid Majchrowski Artur Kasymov Pawel M. Morkisz A. Fit-Florea 25 4 0 04 Oct 2022
Social-Inverse: Inverse Decision-making of Social Contagion Management with Task Migrations G. Tong 9 2 0 21 Sep 2022
SCGG: A Deep Structure-Conditioned Graph Generative Model Faezeh Faez Negin Hashemi Dijujin M. Baghshah Hamid R. Rabiee GNN BDL 8 4 0 20 Sep 2022
ProbGraph: High-Performance and High-Accuracy Graph Mining with Probabilistic Set Representations Maciej Besta Cesare Miglioli P. S. Labini Jakub Tvetek Patrick Iff ... Grzegorz Kwa'sniewski Niels Gleinig Flavio Vella O. Mutlu Torsten Hoefler 18 8 0 24 Aug 2022
Ginex: SSD-enabled Billion-scale Graph Neural Network Training on a Single Machine via Provably Optimal In-memory Caching Yeonhong Park Sunhong Min Jae W. Lee GNN 14 33 0 19 Aug 2022
Graph neural networks for materials science and chemistry Patrick Reiser Marlen Neubert André Eberhard Luca Torresi Chen Zhou ... Houssam Metni Clint van Hoesel Henrik Schopmans T. Sommer Pascal Friederich GNN AI4CE 30 366 0 05 Aug 2022
Dalorex: A Data-Local Program Execution and Architecture for Memory-bound Applications Marcelo Orenes-Vera Esin Tureci D. Wentzlaff M. Martonosi 11 21 0 26 Jul 2022
Graph Generative Model for Benchmarking Graph Neural Networks Minji Yoon Yue Wu John Palowitch Bryan Perozzi Ruslan Salakhutdinov 17 7 0 10 Jul 2022
Graph-Time Convolutional Neural Networks: Architecture and Theoretical Analysis Mohammad Sabbaqi Elvin Isufi GNN AI4TS 32 13 0 30 Jun 2022
Core-periphery Models for Hypergraphs Marios Papachristou Jon M. Kleinberg LRM 6 5 0 01 Jun 2022
Learnability of Competitive Threshold Models Y. Wang G. Tong 20 2 0 08 May 2022