ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.12199
  4. Cited By
Local Graph Clustering with Network Lasso
v1v2v3 (latest)

Local Graph Clustering with Network Lasso

25 April 2020
A. Jung
Yasmin SarcheshmehPour
ArXiv (abs)PDFHTML

Papers citing "Local Graph Clustering with Network Lasso"

37 / 37 papers shown
Title
Topological Filtering for Visual Data Mining and Analysis of Complex
  Networks
Topological Filtering for Visual Data Mining and Analysis of Complex Networks
Faraz Zaidi
99
0
0
04 Apr 2023
Trading off Quality for Efficiency of Community Detection: An Inductive
  Method across Graphs
Trading off Quality for Efficiency of Community Detection: An Inductive Method across Graphs
Meng Qin
Chao Zhang
Bo Bai
Gong Zhang
Dit-Yan Yeung
54
2
0
29 Sep 2022
flow-based clustering and spectral clustering: a comparison
flow-based clustering and spectral clustering: a comparison
Y. SarcheshmehPour
Yu Tian
Linli Zhang
A. Jung
16
2
0
20 Jun 2022
Graph-theoretical approach to robust 3D normal extraction of LiDAR data
Graph-theoretical approach to robust 3D normal extraction of LiDAR data
Arpan Kusari
W. Sun
3DPC
53
2
0
23 May 2022
Data-driven Influence Based Clustering of Dynamical Systems
Data-driven Influence Based Clustering of Dynamical Systems
S. Sinha
AI4TS
8
2
0
05 Apr 2022
Survey of Generative Methods for Social Media Analysis
Survey of Generative Methods for Social Media Analysis
Stan Matwin
Aristides Milios
P. Prałat
Amilcar Soares
Franccois Théberge
52
4
0
13 Dec 2021
Graph-based hierarchical record clustering for unsupervised entity
  resolution
Graph-based hierarchical record clustering for unsupervised entity resolution
Islam Akef Ebeid
J. Talburt
Md. Abdus Siddique
16
3
0
12 Dec 2021
A Modular Framework for Centrality and Clustering in Complex Networks
A Modular Framework for Centrality and Clustering in Complex Networks
F. Oggier
Silivanxay Phetsouvanh
Anwitaman Datta
34
2
0
23 Nov 2021
Cluster Attack: Query-based Adversarial Attacks on Graphs with
  Graph-Dependent Priors
Cluster Attack: Query-based Adversarial Attacks on Graphs with Graph-Dependent Priors
Zhengyi Wang
Zhongkai Hao
Ziqiao Wang
Hang Su
Jun Zhu
AAMLGNN
83
18
0
27 Sep 2021
Querying in the Age of Graph Databases and Knowledge Graphs
Querying in the Age of Graph Databases and Knowledge Graphs
Marcelo Arenas
Claudio Gutiérrez
Juan Sequeda
45
21
0
22 Jun 2021
Clustered Federated Learning via Generalized Total Variation
  Minimization
Clustered Federated Learning via Generalized Total Variation Minimization
Yasmin SarcheshmehPour
Yu Tian
Linli Zhang
A. Jung
FedML
23
8
0
26 May 2021
SISA: Set-Centric Instruction Set Architecture for Graph Mining on
  Processing-in-Memory Systems
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
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
76
26
0
05 Mar 2021
Graph Self-Supervised Learning: A Survey
Graph Self-Supervised Learning: A Survey
Yixin Liu
Ming Jin
Shirui Pan
Chuan Zhou
Yu Zheng
Xiwei Xu
Philip S. Yu
SSL
115
572
0
27 Feb 2021
A New Look and Convergence Rate of Federated Multi-Task Learning with
  Laplacian Regularization
A New Look and Convergence Rate of Federated Multi-Task Learning with Laplacian Regularization
Canh T. Dinh
Thanh Tung Vu
N. H. Tran
Minh N. Dao
Hongyu Zhang
FedML
125
43
0
14 Feb 2021
Overlapping Community Detection in Temporal Text Networks
Overlapping Community Detection in Temporal Text Networks
Shuhan Yan
Yuting Jia
Xinbing Wang
13
2
0
13 Jan 2021
Decimated Framelet System on Graphs and Fast G-Framelet Transforms
Decimated Framelet System on Graphs and Fast G-Framelet Transforms
Xuebin Zheng
Bingxin Zhou
Yu Guang Wang
Xiaosheng Zhuang
106
36
0
12 Dec 2020
QUBO Formulations for Training Machine Learning Models
QUBO Formulations for Training Machine Learning Models
Prasanna Date
Davis Arthur
Lauren Pusey-Nazzaro
65
118
0
05 Aug 2020
PageRank and The K-Means Clustering Algorithm
PageRank and The K-Means Clustering Algorithm
Mustafa Hajij
E. Said
R. Todd
23
1
0
10 May 2020
Flow-based Algorithms for Improving Clusters: A Unifying Framework,
  Software, and Performance
Flow-based Algorithms for Improving Clusters: A Unifying Framework, Software, and Performance
Kimon Fountoulakis
M. Liu
D. Gleich
Michael W. Mahoney
65
11
0
20 Apr 2020
Minimizing Interference and Selection Bias in Network Experiment Design
Minimizing Interference and Selection Bias in Network Experiment Design
Zahra Fatemi
Elena Zheleva
CML
31
20
0
15 Apr 2020
Semi-Supervised Learning on Graphs with Feature-Augmented Graph Basis
  Functions
Semi-Supervised Learning on Graphs with Feature-Augmented Graph Basis Functions
W. Erb
130
9
0
17 Mar 2020
Graph Signal Processing -- Part III: Machine Learning on Graphs, from
  Graph Topology to Applications
Graph Signal Processing -- Part III: Machine Learning on Graphs, from Graph Topology to Applications
Ljubisa Stankovic
Danilo P. Mandic
M. Daković
M. Brajović
Bruno Scalzo
Shengxi Li
A. Constantinides
79
23
0
02 Jan 2020
Clustering in graphs and hypergraphs with categorical edge labels
Clustering in graphs and hypergraphs with categorical edge labels
Ilya Amburg
Nate Veldt
Austin R. Benson
78
94
0
22 Oct 2019
Linear-time Hierarchical Community Detection
Linear-time Hierarchical Community Detection
Ryan A. Rossi
Nesreen Ahmed
Eunyee Koh
Sungchul Kim
13
3
0
14 Jun 2019
Pre-Training Graph Neural Networks for Generic Structural Feature
  Extraction
Pre-Training Graph Neural Networks for Generic Structural Feature Extraction
Ziniu Hu
Changjun Fan
Ting-Li Chen
Kai-Wei Chang
Yizhou Sun
63
44
0
31 May 2019
A Unified Framework for Structured Graph Learning via Spectral
  Constraints
A Unified Framework for Structured Graph Learning via Spectral Constraints
Sandeep Kumar
Jiaxi Ying
José Vinícius de Miranda Cardoso
Daniel P. Palomar
86
115
0
22 Apr 2019
Recurrent Space-time Graph Neural Networks
Recurrent Space-time Graph Neural Networks
Andrei Liviu Nicolicioiu
Iulia Duta
Marius Leordeanu
GNN
118
45
0
11 Apr 2019
Learning Resolution Parameters for Graph Clustering
Learning Resolution Parameters for Graph Clustering
Nate Veldt
D. Gleich
Anthony Wirth
62
14
0
12 Mar 2019
CommunityGAN: Community Detection with Generative Adversarial Nets
CommunityGAN: Community Detection with Generative Adversarial Nets
Yuting Jia
Qinqin Zhang
Weinan Zhang
Xinbing Wang
GNNGAN
73
117
0
20 Jan 2019
Possibility results for graph clustering: A novel consistency axiom
Possibility results for graph clustering: A novel consistency axiom
Fabio Strazzeri
Rubén J. Sánchez-García
66
10
0
15 Jun 2018
System-Generated Requests for Rewriting Proposals
System-Generated Requests for Rewriting Proposals
P. S. D. Fenizio
Cyril Velikanov
16
5
0
30 Nov 2016
Hybrid CPU-GPU Framework for Network Motifs
Hybrid CPU-GPU Framework for Network Motifs
Ryan A. Rossi
R. Zhou
GNN
14
2
0
18 Aug 2016
Lecture Notes on Spectral Graph Methods
Lecture Notes on Spectral Graph Methods
Michael W. Mahoney
40
9
0
17 Aug 2016
Local Graph Clustering Beyond Cheeger's Inequality
Local Graph Clustering Beyond Cheeger's Inequality
Zeyuan Allen-Zhu
Silvio Lattanzi
Vahab Mirrokni
61
11
0
30 Apr 2013
Secure Computation of Top-K Eigenvectors for Shared Matrices in the
  Cloud
Secure Computation of Top-K Eigenvectors for Shared Matrices in the Cloud
James Powers
Keke Chen
47
5
0
13 Nov 2012
An efficient high-quality hierarchical clustering algorithm for
  automatic inference of software architecture from the source code of a
  software system
An efficient high-quality hierarchical clustering algorithm for automatic inference of software architecture from the source code of a software system
Sarge Rogatch
55
0
0
15 Feb 2012
1