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HPGM 2015 : High Performance Graph Mining workshop

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Link: http://hpgm.bsc.es/
 
When Aug 10, 2015 - Aug 10, 2015
Where Sydney, Australia
Submission Deadline Jun 5, 2015
Notification Due Jun 30, 2015
Categories    high performance computing   graph mining   network analytics   big data
 

Call For Papers

The computation of large scale graphs represents a novel challenge both for the HPC and the Data Mining (DM) communities. The potential benefits of exploiting these large networks are huge, but successful research requires a cooperative approach. To promote the collaboration between those who know what to do (DM researchers) and those who know what can be done and how (HPC researchers), we propose the 1st High Performance Graph Mining workshop. A workshop strongly oriented towards discussion and cooperation.

The 1st High Performance Graph Mining workshop (HPGM2015) will be co-located with the 21st on Knowledge Discovery and Data Mining (KDD), in Sydney, Australia, on August 10th. This is a great opportunity to showcase your basic and applied research on High Performance Graph Mining, and to get in touch with top researchers from the High Performance Computing, Artificial Intelligence and Graph Mining communities.
http://hpgm.bsc.es

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Keynote Speakers

We are proud to announce Jure Leskovec (Stanford AI Lab) and Katsuki Fujisawa (Kyushu University) as keynote speakers for the HPGM'15.
We will announce the participants of the panel session in the next few weeks.
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Call for papers

The submission deadline is on June 5, 11:59 PM Pacific Standard Time.
Submissions must be made in PDF format to https://easychair.org/conferences/?conf=hpgm15
All papers will be peer reviewed, single-blinded.
Notification deadline is on June 30, 11:59 PM Pacific Standard Time.
For accepted papers, at least one author must attend the workshop to present the work.

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Topics of Interest

The topics of interest of the HPGM'15 include, but are not limited to:

Graph-specific parallel programming models
Optimization of traditional parallel programming models for the computation of large-scale graphs
HPC tools for the efficient representation and distribution of graph data and algorithms.
Design of scalable graph mining algorithms
Parallelization and evaluation of graph mining tasks using HPC tools and infrastructure
Successful/relevant use cases on the mining of large network domains

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Type of Papers

Since HPGM is an emerging field, we encourage all kinds of submissions:

Novel research papers
Work-in-progress papers
Position papers
Visionary papers
Demo papers


Authors should indicate in their abstracts the kind of submission that the paper belongs to, to help reviewers better understand their contributions.
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Submission Format

Submissions must be made in PDF format to https://easychair.org/conferences/?conf=hpgm15
Submissions must be no more than 8 pages long — shorter papers are welcome — including references, diagrams, and appendices, if any. The required format is the standard double column ACM Proceedings Template, Tighter Alternate style.

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Workshop chairs

Toyotaro Suzumura (IBM Research)
Ulises Cortés (UPC - Barcelona TECH / Barcelona Supercomputing Center)

Programme chair

Dario Garcia-Gasulla (Barcelona Supercomputing Center)


Contact
hpgm@bsc.es
hpgm.bsc.es

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