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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

6 May 2019
Alessandro Epasto
Bryan Perozzi
ArXivPDFHTML

Papers citing "Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts"

7 / 7 papers shown
Title
PersonaSAGE: A Multi-Persona Graph Neural Network
PersonaSAGE: A Multi-Persona Graph Neural Network
G. Choudhary
I. Burhanuddin
Eunyee Koh
F. Du
Ryan A. Rossi
35
0
0
28 Dec 2022
Graph Embedding with Hierarchical Attentive Membership
Graph Embedding with Hierarchical Attentive Membership
Lu Lin
Ethan Blaser
Hongning Wang
19
10
0
31 Oct 2021
Multiple Kernel Representation Learning on Networks
Multiple Kernel Representation Learning on Networks
Abdulkadir Çelikkanat
Yanning Shen
Fragkiskos D. Malliaros
13
5
0
09 Jun 2021
MUSE: Multi-faceted Attention for Signed Network Embedding
MUSE: Multi-faceted Attention for Signed Network Embedding
Dengcheng Yan
Youwen Zhang
Wei Li
Yiwen Zhang
19
14
0
29 Apr 2021
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
22
285
0
07 May 2020
Gossip and Attend: Context-Sensitive Graph Representation Learning
Gossip and Attend: Context-Sensitive Graph Representation Learning
Zekarias T. Kefato
Sarunas Girdzijauskas
18
7
0
30 Mar 2020
On the Equivalence between Positional Node Embeddings and Structural
  Graph Representations
On the Equivalence between Positional Node Embeddings and Structural Graph Representations
Balasubramaniam Srinivasan
Bruno Ribeiro
17
27
0
01 Oct 2019
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