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Change Detection in Graph Streams by Learning Graph Embeddings on
  Constant-Curvature Manifolds

Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds

16 May 2018
Daniele Grattarola
Daniele Zambon
C. Alippi
L. Livi
    GNN
ArXivPDFHTML

Papers citing "Change Detection in Graph Streams by Learning Graph Embeddings on Constant-Curvature Manifolds"

4 / 4 papers shown
Title
Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change
  Detection
Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection
Shizhen Chang
Michael K Kopp
Pedram Ghamisi
38
8
0
09 Oct 2022
Learning Flat Latent Manifolds with VAEs
Learning Flat Latent Manifolds with VAEs
Nutan Chen
Alexej Klushyn
Francesco Ferroni
Justin Bayer
Patrick van der Smagt
DRL
22
39
0
12 Feb 2020
Anomaly and Change Detection in Graph Streams through Constant-Curvature
  Manifold Embeddings
Anomaly and Change Detection in Graph Streams through Constant-Curvature Manifold Embeddings
Daniele Zambon
L. Livi
C. Alippi
24
7
0
03 May 2018
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
250
3,236
0
24 Nov 2016
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