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A Correlation Clustering Approach to Link Classification in Signed
  Networks -- Full Version --
v1v2 (latest)

A Correlation Clustering Approach to Link Classification in Signed Networks -- Full Version --

Annual Conference Computational Learning Theory (COLT), 2012
21 January 2013
Nicolò Cesa-Bianchi
Claudio Gentile
Fabio Vitale
Giovanni Zappella
ArXiv (abs)PDFHTML

Papers citing "A Correlation Clustering Approach to Link Classification in Signed Networks -- Full Version --"

15 / 15 papers shown
CoRet: Improved Retriever for Code Editing
CoRet: Improved Retriever for Code EditingAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Fabio Fehr
Prabhu Teja Sivaprasad
Luca Franceschi
Giovanni Zappella
271
2
0
30 May 2025
Sublinear-Time Clustering Oracle for Signed Graphs
Sublinear-Time Clustering Oracle for Signed GraphsInternational Conference on Machine Learning (ICML), 2022
S. Neumann
Pan Peng
148
5
0
28 Jun 2022
Active clustering for labeling training data
Active clustering for labeling training data
Quentin Lutz
Élie de Panafieu
Alex Scott
M. Stein
97
6
0
27 Oct 2021
Towards a Query-Optimal and Time-Efficient Algorithm for Clustering with
  a Faulty Oracle
Towards a Query-Optimal and Time-Efficient Algorithm for Clustering with a Faulty OracleAnnual Conference Computational Learning Theory (COLT), 2021
Pan Peng
Jiapeng Zhang
FedML
157
11
0
18 Jun 2021
Massively Parallel Correlation Clustering in Bounded Arboricity Graphs
Massively Parallel Correlation Clustering in Bounded Arboricity GraphsInternational Symposium on Distributed Computing (DISC), 2021
Mélanie Cambus
Davin Choo
Havu Miikonen
Jara Uitto
181
14
0
23 Feb 2021
Correlation Clustering with Adaptive Similarity Queries
Correlation Clustering with Adaptive Similarity QueriesNeural Information Processing Systems (NeurIPS), 2019
Marco Bressan
Nicolò Cesa-Bianchi
Andrea Paudice
Fabio Vitale
262
19
0
28 May 2019
Predicting Positive and Negative Links with Noisy Queries: Theory &
  Practice
Predicting Positive and Negative Links with Noisy Queries: Theory & Practice
Charalampos E. Tsourakakis
Michael Mitzenmacher
Kasper Green Larsen
Jarosław Błasiok
Benn Lawson
Preetum Nakkiran
Vasileios Nakos
220
22
0
19 Sep 2017
Clustering with Noisy Queries
Clustering with Noisy Queries
A. Mazumdar
B. Saha
173
100
0
22 Jun 2017
On the Troll-Trust Model for Edge Sign Prediction in Social Networks
On the Troll-Trust Model for Edge Sign Prediction in Social NetworksInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2016
Géraud Le Falher
Nicolò Cesa-Bianchi
Claudio Gentile
Fabio Vitale
139
3
0
01 Jun 2016
Even Trolls Are Useful: Efficient Link Classification in Signed Networks
Even Trolls Are Useful: Efficient Link Classification in Signed Networks
Géraud Le Falher
Fabio Vitale
83
0
0
29 Feb 2016
Parallel Correlation Clustering on Big Graphs
Parallel Correlation Clustering on Big GraphsNeural Information Processing Systems (NeurIPS), 2015
Xinghao Pan
Dimitris Papailiopoulos
Samet Oymak
Benjamin Recht
Kannan Ramchandran
Sai Li
176
86
0
17 Jul 2015
Prediction and Clustering in Signed Networks: A Local to Global
  Perspective
Prediction and Clustering in Signed Networks: A Local to Global PerspectiveJournal of machine learning research (JMLR), 2013
Kai-Yang Chiang
Cho-Jui Hsieh
Nagarajan Natarajan
Ambuj Tewari
Inderjit S. Dhillon
236
147
0
20 Feb 2013
Active Learning on Trees and Graphs
Active Learning on Trees and GraphsAnnual Conference Computational Learning Theory (COLT), 2013
Nicolò Cesa-Bianchi
Claudio Gentile
Fabio Vitale
Giovanni Zappella
528
63
0
22 Jan 2013
A Linear Time Active Learning Algorithm for Link Classification -- Full
  Version --
A Linear Time Active Learning Algorithm for Link Classification -- Full Version --Neural Information Processing Systems (NeurIPS), 2012
Nicolò Cesa-Bianchi
Claudio Gentile
Fabio Vitale
Giovanni Zappella
504
10
0
21 Jan 2013
Active Learning Using Smooth Relative Regret Approximations with
  Applications
Active Learning Using Smooth Relative Regret Approximations with ApplicationsAnnual Conference Computational Learning Theory (COLT), 2011
Nir Ailon
Ron Begleiter
Esther Ezra
439
25
0
10 Oct 2011
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