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

Florian Lemmerich

Florian Frantzen

ArXiv (abs)PDF HTML

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

11 / 11 papers shown

Title
Normalized Space Alignment: A Versatile Metric for Representation Analysis Danish Ebadulla Aditya Gulati Ambuj Singh 421 0 0 07 Nov 2024
Towards Measuring Representational Similarity of Large Language Models Max Klabunde Mehdi Ben Amor Michael Granitzer Florian Lemmerich 85 4 0 05 Dec 2023
Distilling Influences to Mitigate Prediction Churn in Graph Neural Networks Andreas Roth Thomas Liebig 83 0 0 02 Oct 2023
Topological Node2vec: Enhanced Graph Embedding via Persistent Homology Yasuaki Hiraoka Yusuke Imoto Killian Meehan Théo Lacombe Toshiaki Yachimura 66 5 0 15 Sep 2023
Geometric instability of graph neural networks on large graphs Emily L Morris Haotian Shen Weiling Du Muhammad Hamza Sajjad Borun Shi GNN 118 0 0 19 Aug 2023
Similarity of Neural Network Models: A Survey of Functional and Representational Measures Max Klabunde Tobias Schumacher M. Strohmaier Florian Lemmerich 189 75 0 10 May 2023
CAFIN: Centrality Aware Fairness inducing IN-processing for Unsupervised Representation Learning on Graphs A. Arvindh Aakash Aanegola Amul Agrawal Ramasuri Narayanam Ponnurangam Kumaraguru 65 1 0 10 Apr 2023
On the Surprising Behaviour of node2vec Celia Hacker Bastian Rieck 57 4 0 16 Jun 2022
On the Prediction Instability of Graph Neural Networks Max Klabunde Florian Lemmerich 93 5 0 20 May 2022
Structack: Structure-based Adversarial Attacks on Graph Neural Networks Hussain Hussain Tomislav Duricic Elisabeth Lex D. Helic M. Strohmaier Roman Kern AAML GNN 87 13 0 23 Jul 2021
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme Barbara Rychalska Piotr Bkabel Konrad Goluchowski Andrzej Michalowski Jacek Dkabrowski 69 17 0 03 Feb 2021