A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations

12 April 2022

Papers citing "A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations"

8 / 8 papers shown

Title
How Low Can You Go? Searching for the Intrinsic Dimensionality of Complex Networks using Metric Node Embeddings Nikolaos Nakis Niels Raunkjær Holm Andreas Lyhne Fiehn Morten Mørup 68 0 0 03 Mar 2025
Time to Cite: Modeling Citation Networks using the Dynamic Impact Single-Event Embedding Model Nikolaos Nakis Abdulkadir Çelikkanat Louis Boucherie Sune Lehmann Morten Morup 22 0 0 28 Feb 2024
Continuous-time Graph Representation with Sequential Survival Process Abdulkadir Çelikkanat Nikolaos Nakis Morten Morup 8 2 0 20 Dec 2023
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks Nikolaos Nakis Abdulkadir Çelikkanat Morten Mørup 23 0 0 29 Aug 2023
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model Nikolaos Nakis Abdulkadir Çelikkanat Louis Boucherie Christian Djurhuus Felix Burmester Daniel Mathias Holmelund Monika Frolcová Morten Mørup 11 6 0 23 Jan 2023
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations Abdulkadir Çelikkanat Nikolaos Nakis Morten Mørup 40 6 0 23 Dec 2022
Billion-scale Network Embedding with Iterative Random Projection Ziwei Zhang Peng Cui Haoyang Li Xiao Wang Wenwu Zhu 81 80 0 07 May 2018
Scalable Link Prediction in Dynamic Networks via Non-Negative Matrix Factorization Linhong Zhu Dong Guo Junming Yin Greg Ver Steeg Aram Galstyan 43 199 0 13 Nov 2014