The modern data economy is built on sharing data. However, sharing data ...
Quantum networks are gaining momentum in finding applications in a wide ...
As mobile networks proliferate, we are experiencing a strong diversifica...
Imitation learning (IL) aims to learn a policy from expert demonstration...
In this paper we propose Virtuoso, a purely software-based multi-path RD...
Next-basket recommendation (NBR) is prevalent in e-commerce and retail
i...
Solving power flow (PF) equations is the basis of power flow analysis, w...
Learning powerful data embeddings has become a center piece in machine
l...
We conduct to our knowledge a first measurement study of commercial 5G
p...
We conduct to our knowledge a first measurement study of commercial mmWa...
Providing resilient network control is a critical concern for deploying
...
Inspired by convolutional neural networks on 1D and 2D data, graph
convo...
To improve traffic management ability, Internet Service Providers (ISPs)...
Given an undirected graph G(V, E), it is well known that partitioning a
...
Internet-of-Things (IoT) envisions an intelligent infrastructure of netw...
When a network is prone to failures, it is very expensive to compute the...
We introduce the avoidance Markov metrics and theories which provide mor...
Graph Convolutional Neural Networks (GCNNs) are the most recent exciting...
We first present a comprehensive review of various random walk metrics u...
In-network caching is recognized as an effective solution to offload con...