research
∙
04/04/2022
A Survey on Graph Representation Learning Methods
Graphs representation learning has been a very active research area in r...
share
research
∙
02/16/2022
Data Capsule: A Self-Contained Data Model as an Access Policy Enforcement Strategy
In this paper, we introduce a data capsule model, a self-contained and s...
research
∙
11/03/2021
A Survey of Self-Sovereign Identity Ecosystem
Self-sovereign identity is the next evolution of identity management mod...
research
∙
04/27/2021
Extending Isolation Forest for Anomaly Detection in Big Data via K-Means
Industrial Information Technology (IT) infrastructures are often vulnera...
research
∙
01/06/2020
Elastic Bulk Synchronous Parallel Model for Distributed Deep Learning
The bulk synchronous parallel (BSP) is a celebrated synchronization mode...
research
∙
11/26/2019
Learning to Determine the Quality of News Headlines
Today, most newsreaders read the online version of news articles rather ...
research
∙
11/05/2019
Dynamic Graph Embedding via LSTM History Tracking
Many real world networks are very large and constantly change over time....
research
∙
10/04/2019
Dynamic Joint Variational Graph Autoencoders
Learning network representations is a fundamental task for many graph ap...
research
∙
08/16/2019
Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning
Deep learning is a popular machine learning technique and has been appli...
research
∙
12/06/2018
dynnode2vec: Scalable Dynamic Network Embedding
Network representation learning in low dimensional vector space has attr...
research
∙
06/20/2018
Using Neural Network for Identifying Clickbaits in Online News Media
Online news media sometimes use misleading headlines to lure users to op...
research
∙
10/17/2017
Spontaneous Symmetry Breaking in Neural Networks
We propose a framework to understand the unprecedented performance and r...
research
∙
09/09/2017