ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2501.14939
  4. Cited By
Principal Graph Encoder Embedding and Principal Community Detection
v1v2 (latest)

Principal Graph Encoder Embedding and Principal Community Detection

IEEE Transactions on Network Science and Engineering (IEEE TNS&E), 2025
24 January 2025
Cencheng Shen
Yuexiao Dong
Carey E. Priebe
Jonathan Larson
Ha Trinh
Youngser Park
ArXiv (abs)PDFHTMLGithub (17★)

Papers citing "Principal Graph Encoder Embedding and Principal Community Detection"

15 / 15 papers shown
Encoder Embedding for General Graph and Node Classification
Encoder Embedding for General Graph and Node Classification
Cencheng Shen
GNN
301
8
0
24 May 2024
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery
Refined Graph Encoder Embedding via Self-Training and Latent Community Recovery
Cencheng Shen
Jonathan Larson
Ha Trinh
Carey E. Priebe
327
5
0
21 May 2024
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks
  using Encoder Embedding and Vertex Dynamics
Discovering Communication Pattern Shifts in Large-Scale Labeled Networks using Encoder Embedding and Vertex DynamicsIEEE Transactions on Network Science and Engineering (IEEE T-NSE), 2023
Cencheng Shen
Jonathan Larson
Ha Trinh
Xihan Qin
V. Prisacariu
Carey E. Priebe
300
10
0
03 May 2023
Synergistic Graph Fusion via Encoder Embedding
Synergistic Graph Fusion via Encoder EmbeddingInformation Sciences (Inf. Sci.), 2023
Cencheng Shen
Carey E. Priebe
Jonathan Larson
Ha Trinh
AI4CE
401
9
0
31 Mar 2023
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community
  Detection
Graph Encoder Ensemble for Simultaneous Vertex Embedding and Community Detection
Cencheng Shen
Youngser Park
Carey E. Priebe
259
11
0
18 Jan 2023
One-Hot Graph Encoder Embedding
One-Hot Graph Encoder EmbeddingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
Cencheng Shen
Qizhe Wang
Carey E. Priebe
292
43
0
27 Sep 2021
Spectral embedding for dynamic networks with stability guarantees
Spectral embedding for dynamic networks with stability guaranteesNeural Information Processing Systems (NeurIPS), 2021
Ian Gallagher
Andrew Jones
Patrick Rubin-Delanchy
261
31
0
02 Jun 2021
Inference for multiple heterogeneous networks with a common invariant
  subspace
Inference for multiple heterogeneous networks with a common invariant subspaceJournal of machine learning research (JMLR), 2019
Jesús Arroyo
A. Athreya
Joshua Cape
Guodong Chen
Carey E. Priebe
Joshua T. Vogelstein
460
138
0
24 Jun 2019
On a 'Two Truths' Phenomenon in Spectral Graph Clustering
On a 'Two Truths' Phenomenon in Spectral Graph Clustering
Carey E. Priebe
Youngser Park
Joshua T. Vogelstein
John M. Conroy
V. Lyzinski
M. Tang
A. Athreya
Joshua Cape
Eric W. Bridgeford
331
80
0
23 Aug 2018
Statistical inference on random dot product graphs: a survey
Statistical inference on random dot product graphs: a survey
A. Athreya
D. E. Fishkind
Keith D. Levin
V. Lyzinski
Youngser Park
Yichen Qin
D. Sussman
M. Tang
Joshua T. Vogelstein
Carey E. Priebe
356
280
0
16 Sep 2017
node2vec: Scalable Feature Learning for Networks
node2vec: Scalable Feature Learning for NetworksKnowledge Discovery and Data Mining (KDD), 2016
Aditya Grover
J. Leskovec
1.1K
12,054
0
03 Jul 2016
Universally consistent vertex classification for latent positions graphs
Universally consistent vertex classification for latent positions graphs
M. Tang
D. Sussman
Carey E. Priebe
374
135
0
05 Dec 2012
Consistency of community detection in networks under degree-corrected
  stochastic block models
Consistency of community detection in networks under degree-corrected stochastic block models
Yunpeng Zhao
Elizaveta Levina
Ji Zhu
738
453
0
18 Oct 2011
A consistent adjacency spectral embedding for stochastic blockmodel
  graphs
A consistent adjacency spectral embedding for stochastic blockmodel graphs
D. Sussman
M. Tang
D. E. Fishkind
Carey E. Priebe
552
314
0
10 Aug 2011
Spectral clustering and the high-dimensional stochastic blockmodel
Spectral clustering and the high-dimensional stochastic blockmodel
Karl Rohe
S. Chatterjee
Bin Yu
783
987
0
09 Jul 2010
1
Page 1 of 1