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Zoo Guide to Network Embedding

Zoo Guide to Network Embedding

5 May 2023
Anthony Baptista
Rubén J. Sánchez-García
A. Baudot
Ginestra Bianconi
    GNN
ArXiv (abs)PDFHTML

Papers citing "Zoo Guide to Network Embedding"

44 / 44 papers shown
Title
Exact and rapid linear clustering of networks with dynamic programming
Exact and rapid linear clustering of networks with dynamic programming
Alice Patania
Antoine Allard
Jean-Gabriel Young
43
7
0
25 Jan 2023
Cell Attention Networks
Cell Attention Networks
Lorenzo Giusti
Claudio Battiloro
Lucia Testa
P. Lorenzo
S. Sardellitti
Sergio Barbarossa
3DPCGNN
382
36
0
16 Sep 2022
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and
  Oversmoothing in GNNs
Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs
Cristian Bodnar
Francesco Di Giovanni
B. Chamberlain
Pietro Lio
Michael M. Bronstein
88
183
0
09 Feb 2022
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical
  Projections
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections
Ines Chami
Albert Gu
D. Nguyen
Christopher Ré
60
46
0
07 Jun 2021
What are higher-order networks?
What are higher-order networks?
C. Bick
Elizabeth Gross
Heather A. Harrington
Michael T. Schaub
142
287
0
20 Apr 2021
Cell Complex Neural Networks
Cell Complex Neural Networks
Mustafa Hajij
Kyle Istvan
Ghada Zamzmi
92
61
0
02 Oct 2020
Community detection in networks using graph embeddings
Community detection in networks using graph embeddings
Aditya Tandon
A. Albeshri
V. Thayananthan
W. Alhalabi
F. Radicchi
S. Fortunato
GNN
51
37
0
11 Sep 2020
MultiVERSE: a multiplex and multiplex-heterogeneous network embedding
  approach
MultiVERSE: a multiplex and multiplex-heterogeneous network embedding approach
Léo Pio-Lopez
Alberto Valdeolivas
Laurent Tichit
Élisabeth Remy
A. Baudot
40
41
0
23 Aug 2020
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Machine Learning on Graphs: A Model and Comprehensive Taxonomy
Ines Chami
Sami Abu-El-Haija
Bryan Perozzi
Christopher Ré
Kevin Patrick Murphy
90
290
0
07 May 2020
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Low-Dimensional Hyperbolic Knowledge Graph Embeddings
Ines Chami
A. Wolf
Da-Cheng Juan
Frederic Sala
Sujith Ravi
Christopher Ré
58
395
0
01 May 2020
Hyperbolic Graph Convolutional Neural Networks
Hyperbolic Graph Convolutional Neural Networks
Ines Chami
Rex Ying
Christopher Ré
J. Leskovec
GNN
113
651
0
28 Oct 2019
Representation Learning of EHR Data via Graph-Based Medical Entity
  Embedding
Representation Learning of EHR Data via Graph-Based Medical Entity Embedding
Tong Wu
Yunlong Wang
Yue Wang
E. Zhao
Yilian Yuan
Zhi Yang
AI4TS
73
15
0
07 Oct 2019
Weight Agnostic Neural Networks
Weight Agnostic Neural Networks
Adam Gaier
David R Ha
OOD
65
242
0
11 Jun 2019
Mercator: uncovering faithful hyperbolic embeddings of complex networks
Mercator: uncovering faithful hyperbolic embeddings of complex networks
Guillermo García-Pérez
Antoine Allard
M. Á. Serrano
Marián Boguná
31
77
0
24 Apr 2019
Eigenvalue and Generalized Eigenvalue Problems: Tutorial
Eigenvalue and Generalized Eigenvalue Problems: Tutorial
Benyamin Ghojogh
Fakhri Karray
Mark Crowley
77
124
0
25 Mar 2019
Hypergraph Convolution and Hypergraph Attention
Hypergraph Convolution and Hypergraph Attention
S. Bai
Feihu Zhang
Philip Torr
GNN
93
626
0
23 Jan 2019
Graph Neural Networks: A Review of Methods and Applications
Graph Neural Networks: A Review of Methods and Applications
Jie Zhou
Ganqu Cui
Shengding Hu
Zhengyan Zhang
Cheng Yang
Zhiyuan Liu
Lifeng Wang
Changcheng Li
Maosong Sun
AI4CEGNN
1.1K
5,532
0
20 Dec 2018
Representation Learning on Graphs with Jumping Knowledge Networks
Representation Learning on Graphs with Jumping Knowledge Networks
Keyulu Xu
Chengtao Li
Yonglong Tian
Tomohiro Sonobe
Ken-ichi Kawarabayashi
Stefanie Jegelka
GNN
516
1,990
0
09 Jun 2018
Representation Tradeoffs for Hyperbolic Embeddings
Representation Tradeoffs for Hyperbolic Embeddings
Christopher De Sa
Albert Gu
Christopher Ré
Frederic Sala
216
413
0
10 Apr 2018
VERSE: Versatile Graph Embeddings from Similarity Measures
VERSE: Versatile Graph Embeddings from Similarity Measures
Anton Tsitsulin
Davide Mottin
Panagiotis Karras
Emmanuel Müller
58
269
0
13 Mar 2018
Modeling polypharmacy side effects with graph convolutional networks
Modeling polypharmacy side effects with graph convolutional networks
Marinka Zitnik
Monica Agrawal
J. Leskovec
GNN
116
1,086
0
02 Feb 2018
Network Representation Learning: A Survey
Network Representation Learning: A Survey
Daokun Zhang
Jie Yin
Xingquan Zhu
Chengqi Zhang
GNNAI4TS
102
622
0
04 Dec 2017
Representation Learning for Scale-free Networks
Representation Learning for Scale-free Networks
Rui Feng
Yang Yang
Wenjie Hu
Leilei Gan
Yueting Zhuang
GNN
53
51
0
29 Nov 2017
GraphGAN: Graph Representation Learning with Generative Adversarial Nets
GraphGAN: Graph Representation Learning with Generative Adversarial Nets
Hongwei Wang
Jia Wang
Jialin Wang
Miao Zhao
Weinan Zhang
Fuzheng Zhang
Xing Xie
Minyi Guo
GNNGAN
87
625
0
22 Nov 2017
Adversarial Network Embedding
Adversarial Network Embedding
Quanyu Dai
Qiang Li
Jian Tang
Dan Wang
GNNGAN
70
222
0
21 Nov 2017
Graph Attention Networks
Graph Attention Networks
Petar Velickovic
Guillem Cucurull
Arantxa Casanova
Adriana Romero
Pietro Lio
Yoshua Bengio
GNN
481
20,233
0
30 Oct 2017
Inductive Representation Learning on Large Graphs
Inductive Representation Learning on Large Graphs
William L. Hamilton
Z. Ying
J. Leskovec
514
15,319
0
07 Jun 2017
Poincaré Embeddings for Learning Hierarchical Representations
Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel
Douwe Kiela
93
1,310
0
22 May 2017
Heterogeneous Information Network Embedding for Meta Path based
  Proximity
Heterogeneous Information Network Embedding for Meta Path based Proximity
Zhipeng Huang
N. Mamoulis
GNN
58
110
0
19 Jan 2017
Variational Graph Auto-Encoders
Variational Graph Auto-Encoders
Thomas Kipf
Max Welling
GNNBDLSSLCML
151
3,592
0
21 Nov 2016
DeepCas: an End-to-end Predictor of Information Cascades
DeepCas: an End-to-end Predictor of Information Cascades
Cheng Li
Jiaqi Ma
Xiaoxiao Guo
Qiaozhu Mei
GNN
48
328
0
16 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
657
29,154
0
09 Sep 2016
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for Networks
Aditya Grover
J. Leskovec
191
10,906
0
03 Jul 2016
Convolutional Neural Networks on Graphs with Fast Localized Spectral
  Filtering
Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
M. Defferrard
Xavier Bresson
P. Vandergheynst
GNN
356
7,671
0
30 Jun 2016
Learning Convolutional Neural Networks for Graphs
Learning Convolutional Neural Networks for Graphs
Mathias Niepert
Mohamed Ahmed
Konstantin Kutzkov
GNNSSL
138
2,154
0
17 May 2016
Convolutional Networks on Graphs for Learning Molecular Fingerprints
Convolutional Networks on Graphs for Learning Molecular Fingerprints
David Duvenaud
D. Maclaurin
J. Aguilera-Iparraguirre
Rafael Gómez-Bombarelli
Timothy D. Hirzel
Alán Aspuru-Guzik
Ryan P. Adams
GNN
223
3,357
0
30 Sep 2015
Embedding Entities and Relations for Learning and Inference in Knowledge
  Bases
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Bishan Yang
Wen-tau Yih
Xiaodong He
Jianfeng Gao
Li Deng
NAI
107
3,203
0
20 Dec 2014
DeepWalk: Online Learning of Social Representations
DeepWalk: Online Learning of Social Representations
Bryan Perozzi
Rami Al-Rfou
Steven Skiena
HAI
263
9,800
0
26 Mar 2014
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
230
4,884
0
21 Dec 2013
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
402
33,560
0
16 Oct 2013
Large-scale Multi-label Learning with Missing Labels
Large-scale Multi-label Learning with Missing Labels
Hsiang-Fu Yu
Prateek Jain
Purushottam Kar
Inderjit S. Dhillon
MQ
88
493
0
18 Jul 2013
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
680
31,544
0
16 Jan 2013
A Fast and Simple Algorithm for Training Neural Probabilistic Language
  Models
A Fast and Simple Algorithm for Training Neural Probabilistic Language Models
A. Mnih
Yee Whye Teh
179
578
0
27 Jun 2012
Vector Diffusion Maps and the Connection Laplacian
Vector Diffusion Maps and the Connection Laplacian
A. Singer
Hau-Tieng Wu
76
310
0
01 Feb 2011
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