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Stacking Models for Nearly Optimal Link Prediction in Complex Networks

Stacking Models for Nearly Optimal Link Prediction in Complex Networks

17 September 2019
Amir Ghasemian
Homa Hosseinmardi
Aram Galstyan
E. Airoldi
A. Clauset
ArXiv (abs)PDFHTML

Papers citing "Stacking Models for Nearly Optimal Link Prediction in Complex Networks"

17 / 17 papers shown
Title
Towards understanding evolution of science through language model series
Towards understanding evolution of science through language model series
Junjie Dong
Zhuoqi Lyu
Qing Ke
AI4TS
157
0
0
15 Sep 2024
Is a Single Embedding Enough? Learning Node Representations that Capture
  Multiple Social Contexts
Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts
Alessandro Epasto
Bryan Perozzi
49
104
0
06 May 2019
Evaluating Overfit and Underfit in Models of Network Community Structure
Evaluating Overfit and Underfit in Models of Network Community Structure
Amir Ghasemian
Homa Hosseinmardi
A. Clauset
78
142
0
28 Feb 2018
A Comprehensive Survey of Graph Embedding: Problems, Techniques and
  Applications
A Comprehensive Survey of Graph Embedding: Problems, Techniques and Applications
Hongyun Cai
V. Zheng
Kevin Chen-Chuan Chang
AI4TS
107
1,794
0
22 Sep 2017
Representation Learning on Graphs: Methods and Applications
Representation Learning on Graphs: Methods and Applications
William L. Hamilton
Rex Ying
J. Leskovec
GNN
192
1,980
0
17 Sep 2017
Consistencies and inconsistencies between model selection and link
  prediction in networks
Consistencies and inconsistencies between model selection and link prediction in networks
Toni Vallès-Català
Tiago P. Peixoto
Roger Guimerà
Marta Sales-Pardo
50
50
0
22 May 2017
Using stacking to average Bayesian predictive distributions
Using stacking to average Bayesian predictive distributions
Yuling Yao
Aki Vehtari
Daniel P. Simpson
Andrew Gelman
96
341
0
06 Apr 2017
The ground truth about metadata and community detection in networks
The ground truth about metadata and community detection in networks
Leto Peel
D. Larremore
A. Clauset
76
446
0
20 Aug 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
191
10,924
0
03 Jul 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
817
39,062
0
09 Mar 2016
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
263
9,809
0
26 Mar 2014
Scalable detection of statistically significant communities and
  hierarchies, using message-passing for modularity
Scalable detection of statistically significant communities and hierarchies, using message-passing for modularity
Pan Zhang
Cristopher Moore
77
171
0
23 Mar 2014
Spectral redemption: clustering sparse networks
Spectral redemption: clustering sparse networks
Florent Krzakala
Cristopher Moore
Elchanan Mossel
Joe Neeman
Allan Sly
Lenka Zdeborová
Pan Zhang
139
623
0
24 Jun 2013
Parsimonious module inference in large networks
Parsimonious module inference in large networks
Tiago P. Peixoto
MoE
103
201
0
19 Dec 2012
Noisy matrix decomposition via convex relaxation: Optimal rates in high
  dimensions
Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions
Alekh Agarwal
S. Negahban
Martin J. Wainwright
232
433
0
23 Feb 2011
A survey of cross-validation procedures for model selection
A survey of cross-validation procedures for model selection
Sylvain Arlot
Alain Celisse
216
3,598
0
27 Jul 2009
Hierarchical structure and the prediction of missing links in networks
Hierarchical structure and the prediction of missing links in networks
A. Clauset
Cristopher Moore
Mark E. J. Newman
105
2,076
0
04 Nov 2008
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