BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//wp-events-plugin.com//7.2.3.1//EN
BEGIN:VEVENT
UID:410@lincs.fr
DTSTART;TZID=Europe/Paris:20181024T140000
DTEND;TZID=Europe/Paris:20181024T150000
DTSTAMP:20181107T113013Z
URL:https://www.lincs.fr/events/tbc-8/
SUMMARY:Two new methods for graph classification
DESCRIPTION:Graph classification has recently received a lot of attention
 from various fields of machine learning e.g. kernel methods\, sequential
 modeling or graph embedding. We address the problem of graph classification
 based only on structural information. Most standard methods require either
 the pairwise comparisons of all graphs in the dataset or the extraction of
 ad-hoc features to perform classification. Those methods respectively raise
 scalability issues when the number of samples in the dataset is large\, and
 flexibility issues when discriminative information is characterized by
 exotic features. We propose two approaches for graph classification. First
 we propose a simple baseline algorithm that uses spectral information as
 graph representation. Second\, we propose a new sequential approach using
 recurrent neural networks to&nbsp\;offer new possibilities for graph
 analysis in terms of scalability and feature learning.
CATEGORIES:Seminars,Youtube
LOCATION:LINCS / EIT Digital\, 23 avenue d'Italie\, 75013 Paris\, France
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=23 avenue d'Italie\, 75013
 Paris\, France;X-APPLE-RADIUS=100;X-TITLE=LINCS / EIT Digital:geo:0,0
END:VEVENT
BEGIN:VTIMEZONE
TZID:Europe/Paris
X-LIC-LOCATION:Europe/Paris
BEGIN:DAYLIGHT
DTSTART:20180325T030000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
END:DAYLIGHT
END:VTIMEZONE
END:VCALENDAR