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The Effects of Randomness on the Stability of Node Embeddings

The Effects of Randomness on the Stability of Node Embeddings

20 May 2020
Tobias Schumacher
Hinrikus Wolf
Martin Ritzert
Florian Lemmerich
Jan Bachmann
Florian Frantzen
Max Klabunde
Martin Grohe
M. Strohmaier
ArXiv (abs)PDFHTML

Papers citing "The Effects of Randomness on the Stability of Node Embeddings"

11 / 11 papers shown
Normalized Space Alignment: A Versatile Metric for Representation
  Analysis
Normalized Space Alignment: A Versatile Metric for Representation Analysis
Danish Ebadulla
Aditya Gulati
Ambuj Singh
1.0K
0
0
07 Nov 2024
Towards Measuring Representational Similarity of Large Language Models
Towards Measuring Representational Similarity of Large Language Models
Max Klabunde
Mehdi Ben Amor
Michael Granitzer
Florian Lemmerich
322
6
0
05 Dec 2023
Distilling Influences to Mitigate Prediction Churn in Graph Neural
  Networks
Distilling Influences to Mitigate Prediction Churn in Graph Neural NetworksAsian Conference on Machine Learning (ACML), 2023
Andreas Roth
Thomas Liebig
238
0
0
02 Oct 2023
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology
Topological Node2vec: Enhanced Graph Embedding via Persistent HomologyJournal of machine learning research (JMLR), 2023
Yasuaki Hiraoka
Yusuke Imoto
Killian Meehan
Théo Lacombe
Toshiaki Yachimura
239
9
0
15 Sep 2023
Geometric instability of graph neural networks on large graphs
Geometric instability of graph neural networks on large graphs
Emily L Morris
Haotian Shen
Weiling Du
Muhammad Hamza Sajjad
Borun Shi
GNN
433
2
0
19 Aug 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures
Similarity of Neural Network Models: A Survey of Functional and Representational MeasuresACM Computing Surveys (ACM Comput. Surv.), 2023
Max Klabunde
Tobias Schumacher
M. Strohmaier
Florian Lemmerich
708
132
0
10 May 2023
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised
  Representation Learning on Graphs
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on GraphsEuropean Conference on Artificial Intelligence (ECAI), 2023
A. Arvindh
Aakash Aanegola
Amul Agrawal
Ramasuri Narayanam
Ponnurangam Kumaraguru
299
1
0
10 Apr 2023
On the Surprising Behaviour of node2vec
On the Surprising Behaviour of node2vec
Celia Hacker
Bastian Rieck
184
4
0
16 Jun 2022
On the Prediction Instability of Graph Neural Networks
On the Prediction Instability of Graph Neural Networks
Max Klabunde
Florian Lemmerich
235
8
0
20 May 2022
Structack: Structure-based Adversarial Attacks on Graph Neural Networks
Structack: Structure-based Adversarial Attacks on Graph Neural NetworksACM Conference on Hypertext & Social Media (HT), 2021
Hussain Hussain
Tomislav Duricic
Elisabeth Lex
D. Helic
M. Strohmaier
Roman Kern
AAMLGNN
348
17
0
23 Jul 2021
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme
Cleora: A Simple, Strong and Scalable Graph Embedding SchemeInternational Conference on Neural Information Processing (ICONIP), 2021
Barbara Rychalska
Piotr Bkabel
Konrad Goluchowski
Andrzej Michalowski
Jacek Dkabrowski
242
18
0
03 Feb 2021
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