output
20022025
most citedLearning Convolutional Neural Networks for Graphs

808 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2016Show all

6 papers · 1 filter

cs.CR2016★ 185 cited

Scalable Byzantine Consensus via Hardware-assisted Secret Sharing

Jian Liu, Wenting Li, Ghassan O. Karame +1

The surging interest in blockchain technology has revitalized the search for effective Byzantine consensus schemes. In particular, the blockchain community has been looking for way…

cs.NI2016★ 7 cited

Revisiting 802.11 Rate Adaptation from Energy Consumption's Perspective

Iñaki Ucar, Carlos Donato, Pablo Serrano +3

Rate adaptation in 802.11 WLANs has received a lot of attention from the research community, with most of the proposals aiming at maximising throughput based on network conditions.…

cs.LG2016★ 808 cited

Learning Convolutional Neural Networks for Graphs

Mathias Niepert, Mohamed Ahmed, Konstantin Kutzkov

Numerous important problems can be framed as learning from graph data. We propose a framework for learning convolutional neural networks for arbitrary graphs. These graphs may be u…

cs.NI2016

On-the-Fly TCP Acceleration with Miniproxy

Giuseppe Siracusano, Roberto Bifulco, Simon Kuenzer +3

TCP proxies are basic building blocks for many advanced middleboxes. In this paper we present Miniproxy, a TCP proxy built on top of a specialized minimalistic cloud operating syst…

cs.NI2016★ 520 cited

From Network Sharing to Multi-tenancy: The 5G Network Slice Broker

Konstantinos Samdanis, Xavier Costa-Perez, Vincenzo Sciancalepore

The ever-increasing traffic demand is pushing network operators to find new cost-efficient solutions towards the deployment of future 5G mobile networks. The network sharing paradi…

cs.NI2016★ 46 cited

srsLTE: An Open-Source Platform for LTE Evolution and Experimentation

Ismael Gomez-Miguelez, Andres Garcia-Saavedra, Paul D. Sutton +3

Testbeds are essential for experimental evaluation as well as for product development. In the context of LTE networks, existing testbed platforms are limited either in functionalit…