output
20022025
most citedLearning Convolutional Neural Networks for Graphs

808 citations

Showing 2018Show all

16 papers · 1 filter

cs.LG2018★ 4 cited

Efficient and Scalable Multi-task Regression on Massive Number of Tasks

Xiao He, Francesco Alesiani, Ammar Shaker

Many real-world large-scale regression problems can be formulated as Multi-task Learning (MTL) problems with a massive number of tasks, as in retail and transportation domains. How…

cs.DB2018

Knowledge Graph Completion to Predict Polypharmacy Side Effects

Brandon Malone, Alberto García-Durán, Mathias Niepert

The polypharmacy side effect prediction problem considers cases in which two drugs taken individually do not result in a particular side effect; however, when the two drugs are tak…

cs.DC2018★ 1 cited

On the Fly Orchestration of Unikernels: Tuning and Performance Evaluation of Virtual Infrastructure Managers

Pier Luigi Ventre, Paolo Lungaroni, Giuseppe Siracusano +4

Network operators are facing significant challenges meeting the demand for more bandwidth, agile infrastructures, innovative services, while keeping costs low. Network Functions Vi…

cs.AI2018★ 18 cited

Learning Sequence Encoders for Temporal Knowledge Graph Completion

Alberto García-Durán, Sebastijan Dumančić, Mathias Niepert

Research on link prediction in knowledge graphs has mainly focused on static multi-relational data. In this work we consider temporal knowledge graphs where relations between entit…

cs.NI2018★ 12 cited

We Hear Your Activities through Wi-Fi Signals

Fang-Jing Wu, Gürkan Solmaz

In this paper we focus on the problem of human activity recognition without identification of the individuals in a scene. We consider using Wi-Fi signals to detect certain human mo…

cs.NI2018★ 11 cited

Together or Alone: Detecting Group Mobility with Wireless Fingerprints

Gürkan Solmaz, Fang-Jing Wu

This paper proposes a novel approach for detecting groups of people that walk "together" (group mobility) as well as the people who walk "alone" (individual movements) using wirele…

cs.NI2018★ 6 cited

Are You in the Line? RSSI-based Queue Detection in Crowds

Fang-Jing Wu, Gürkan Solmaz

Crowd behaviour analytics focuses on behavioural characteristics of groups of people instead of individuals' activities. This work considers human queuing behaviour which is a spec…

cs.NI2018★ 6 cited

The Privacy Exposure Problem in Mobile Location-based Services

Fang-Jing Wu, Matthias R. Brust, Yan-Ann Chen +1

Mobile location-based services (LBSs) empowered by mobile crowdsourcing provide users with context-aware intelligent services based on user locations. As smartphones are capable of…

cs.NI2018

Resource Orchestration of 5G Transport Networks for Vertical Industries

K. Antevski, J. Martín-Pérez, Nuria Molner +12

The future 5G transport networks are envisioned to support a variety of vertical services through network slicing and efficient orchestration over multiple administrative domains.…

cs.CY2018★ 134 cited

Smart buildings as Cyber-Physical Systems: Data-driven predictive control strategies for energy efficiency

Mischa Schmidt, Christer Åhlund

Due to its significant contribution to global energy usage and the associated greenhouse gas emissions, existing building stock's energy efficiency must improve. Predictive buildin…

eess.SY2018★ 6 cited

Cyber-Physical System for Energy-Efficient Stadium Operation: Methodology and Experimental Validation

Mischa Schmidt, Anett Schülke, Alberto Venturi +2

The environmental impacts of medium to large scale buildings receive substantial attention in research, industry, and media. This paper studies the energy savings potential of a co…

cs.NI2018★ 1 cited

z-TORCH: An Automated NFV Orchestration and Monitoring Solution

Vincenzo Sciancalepore, Faqir Zarrar Yousaf, Xavier Costa-Perez

Autonomous management and orchestration (MANO) of virtualized resources and services, especially in large-scale Network Function Virtualization (NFV) environments, is a big challen…

cs.NI2018★ 311 cited

NFV and SDN - Key Technology Enablers for 5G Networks

Faqir Zarrar Yousaf, Michael Bredel, Sibylle Schaller +1

Communication networks are undergoing their next evolutionary step towards 5G. The 5G networks are envisioned to provide a flexible, scalable, agile and programmable network platfo…

cs.AI2018

A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning

Sebastijan Dumancic, Alberto Garcia-Duran, Mathias Niepert

Many real-world domains can be expressed as graphs and, more generally, as multi-relational knowledge graphs. Though reasoning and learning with knowledge graphs has traditionally…

cs.CR2018

DoubleEcho: Mitigating Context-Manipulation Attacks in Copresence Verification

Hien Thi Thu Truong, Juhani Toivonen, Thien Duc Nguyen +3

Copresence verification based on context can improve usability and strengthen security of many authentication and access control systems. By sensing and comparing their surrounding…

cs.IR2018★ 19 cited

TransRev: Modeling Reviews as Translations from Users to Items

Alberto Garcia-Duran, Roberto Gonzalez, Daniel Onoro-Rubio +2

The text of a review expresses the sentiment a customer has towards a particular product. This is exploited in sentiment analysis where machine learning models are used to predict…