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Graph Summarization Methods and Applications: A Survey

14 December 2016

Papers citing "Graph Summarization Methods and Applications: A Survey"

21 / 21 papers shown

Title
APEX $^2$ : Adaptive and Extreme Summarization for Personalized Knowledge Graphs Zihao Li Dongqi Fu Mengting Ai Jingrui He 92 9 0 23 Dec 2024
Graph Coarsening via Convolution Matching for Scalable Graph Neural Network Training Charles Dickens E-Wen Huang Aishwarya N. Reganti Jiong Zhu Karthik Subbian Danai Koutra 91 8 0 24 Dec 2023
Balancing Summarization and Change Detection in Graph Streams Shintaro Fukushima Kenji Yamanishi 21 1 0 30 Nov 2023
GTP-ViT: Efficient Vision Transformers via Graph-based Token Propagation Xuwei Xu Sen Wang Yudong Chen Yanping Zheng Zhewei Wei Jiajun Liu ViT 98 12 0 06 Nov 2023
A Gromov--Wasserstein Geometric View of Spectrum-Preserving Graph Coarsening Yifan Chen Rentian Yao Yun Yang Jie Chen 86 8 0 15 Jun 2023
Promise and Limitations of Supervised Optimal Transport-Based Graph Summarization via Information Theoretic Measures Sepideh Neshatfar Abram Magner Salimeh Yasaei Sekeh OT 42 3 0 11 May 2023
A Simplified Algorithm for Identifying Abnormal Changes in Dynamic Networks Bouchaib Azamir Driss Bennis Bertrand Michel 43 0 0 17 Oct 2022
Learning node embeddings via summary graphs: a brief theoretical analysis Houquan Zhou Shenghua Liu Danai Koutra Huawei Shen Xueqi Cheng 29 0 0 04 Jul 2022
Discovering Representative Attribute-stars via Minimum Description Length Jiahong Liu Min Zhou Philippe Fournier-Viger Menglin Yang Lujia Pan M. Nouioua 46 8 0 27 Apr 2022
Large-scale multi-objective influence maximisation with network downscaling Elia Cunegatti Giovanni Iacca Doina Bucur 55 5 0 13 Apr 2022
Differentially Describing Groups of Graphs Corinna Coupette Sebastian Dalleiger Jilles Vreeken 76 6 0 16 Dec 2021
Leveraging the Graph Structure of Neural Network Training Dynamics Fatemeh Vahedian Ruiyu Li Puja Trivedi Di Jin Danai Koutra AI4CE GNN 56 3 0 09 Nov 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 56 88 0 15 Apr 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 84 26 0 05 Mar 2021
Extracting Summary Knowledge Graphs from Long Documents Zeqiu Wu Rik Koncel-Kedziorski Mari Ostendorf Hannaneh Hajishirzi 76 15 0 19 Sep 2020
MultiGBS: A multi-layer graph approach to biomedical summarization Ensieh Davoodijam Nasser Ghadiri Maryam Lotfi Shahreza Fabio Rinaldi 41 16 0 27 Aug 2020
Multiscale Snapshots: Visual Analysis of Temporal Summaries in Dynamic Graphs E. Cakmak U. Schlegel Dominik Jäckle Daniel A. Keim Tobias Schreck AI4TS 51 14 0 19 Aug 2020
The Minimum Description Length Principle for Pattern Mining: A Survey E. Galbrun AI4TS 80 24 0 28 Jul 2020
ITeM: Independent Temporal Motifs to Summarize and Compare Temporal Networks Sumit Purohit Lawrence Holder George Chin 34 6 0 19 Feb 2020
Entity Summarization: State of the Art and Future Challenges Qingxia Liu Gong Cheng Kalpa Gunaratna Yuzhong Qu AI4TS 51 37 0 18 Oct 2019
A supervised approach to time scale detection in dynamic networks Benjamin Fish R. Caceres 32 9 0 24 Feb 2017