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The impossibility of low rank representations for triangle-rich complex
  networks

The impossibility of low rank representations for triangle-rich complex networks

27 March 2020
C. Seshadhri
Aneesh Sharma
Andrew Stolman
Ashish Goel
    GNN
ArXivPDFHTML

Papers citing "The impossibility of low rank representations for triangle-rich complex networks"

8 / 8 papers shown
Title
Fitting Low-rank Models on Egocentrically Sampled Partial Networks
Fitting Low-rank Models on Egocentrically Sampled Partial Networks
G. Chan
Tianxi Li
EgoV
16
1
0
09 Mar 2023
Implications of sparsity and high triangle density for graph
  representation learning
Implications of sparsity and high triangle density for graph representation learning
Hannah Sansford
Alexander Modell
N. Whiteley
Patrick Rubin-Delanchy
25
1
0
27 Oct 2022
Clustered Graph Matching for Label Recovery and Graph Classification
Clustered Graph Matching for Label Recovery and Graph Classification
Zhirui Li
Jesús Arroyo
Konstantinos Pantazis
V. Lyzinski
FedML
16
1
0
06 May 2022
A Broader Picture of Random-walk Based Graph Embedding
A Broader Picture of Random-walk Based Graph Embedding
Zexi Huang
A. Silva
Ambuj K. Singh
11
49
0
24 Oct 2021
DeepWalking Backwards: From Embeddings Back to Graphs
DeepWalking Backwards: From Embeddings Back to Graphs
Sudhanshu Chanpuriya
Cameron Musco
Konstantinos Sotiropoulos
Charalampos E. Tsourakakis
GNN
32
13
0
17 Feb 2021
Node Embeddings and Exact Low-Rank Representations of Complex Networks
Node Embeddings and Exact Low-Rank Representations of Complex Networks
Sudhanshu Chanpuriya
Cameron Musco
Konstantinos Sotiropoulos
Charalampos E. Tsourakakis
BDL
19
33
0
10 Jun 2020
Manifold structure in graph embeddings
Manifold structure in graph embeddings
Patrick Rubin-Delanchy
14
24
0
09 Jun 2020
Edgeworth expansions for network moments
Edgeworth expansions for network moments
Yuan Zhang
Dong Xia
32
25
0
14 Apr 2020
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