research
∙
08/29/2023
A Hybrid Membership Latent Distance Model for Unsigned and Signed Integer Weighted Networks
Graph representation learning (GRL) has become a prominent tool for furt...
share
research
∙
01/23/2023
Characterizing Polarization in Social Networks using the Signed Relational Latent Distance Model
Graph representation learning has become a prominent tool for the charac...
research
∙
12/23/2022
Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations
Networks have become indispensable and ubiquitous structures in many fie...
research
∙
04/12/2022
A Hierarchical Block Distance Model for Ultra Low-Dimensional Graph Representations
Graph Representation Learning (GRL) has become central for characterizin...
research
∙
11/10/2021
Topic-aware latent models for representation learning on networks
Network representation learning (NRL) methods have received significant ...
research
∙
06/09/2021
Multiple Kernel Representation Learning on Networks
Learning representations of nodes in a low dimensional space is a crucia...
research
∙
10/01/2020
N odeS ig: Random Walk Diffusion meets Hashing for Scalable Graph Embeddings
Learning node representations is a crucial task with a plethora of inter...
research
∙
11/20/2019
Exponential Family Graph Embeddings
Representing networks in a low dimensional latent space is a crucial tas...
research
∙
09/08/2019
Kernel Node Embeddings
Learning representations of nodes in a low dimensional space is a crucia...
research
∙
10/16/2018