research
∙
05/03/2023
Discovering Communication Pattern Shifts in Large-Scale Networks using Encoder Embedding and Vertex Dynamics
The analysis of large-scale time-series network data, such as social med...
share
research
∙
03/31/2023
Synergistic Graph Fusion via Encoder Embedding
In this paper, we introduce a novel approach to multi-graph embedding ca...
research
∙
06/16/2021
Maximum likelihood estimation for mechanistic network models
Mechanistic network models specify the mechanisms by which networks grow...
research
∙
04/01/2021
Dynamic Silos: Modularity in intra-organizational communication networks before and during the Covid-19 pandemic
Workplace communications around the world were drastically altered by Co...
research
∙
03/16/2021
Learning without gradient descent encoded by the dynamics of a neurobiological model
The success of state-of-the-art machine learning is essentially all base...
research
∙
02/19/2021
Inferring the minimum spanning tree from a sample network
Minimum spanning trees (MSTs) are used in a variety of fields, from comp...
research
∙
08/23/2020
Multiple Network Embedding for Anomaly Detection in Time Series of Graphs
This paper considers the graph signal processing problem of anomaly dete...
research
∙
05/20/2020
Learning to rank via combining representations
Learning to rank – producing a ranked list of items specific to a query ...
research
∙
05/01/2020
Workgroup Mapping: Visual Analysis of Collaboration Culture
The digital transformation of work presents new opportunities to underst...
research
∙
04/27/2020
A general approach to progressive intelligence
In biological learning, data is used to improve performance on the task ...
research
∙
04/27/2020
A general approach to progressive learning
In biological learning, data is used to improve performance on the task ...
research
∙
04/07/2020
PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing
The global health threat from COVID-19 has been controlled in a number o...
research
∙
05/06/2019