{"id":5117,"global_id":"www.ibs.re.kr\/bimag?id=5117","global_id_lineage":["www.ibs.re.kr\/bimag?id=5117"],"author":"3","status":"publish","date":"2021-10-29 06:00:00","date_utc":"2021-10-11 11:25:49","modified":"2021-10-29 20:35:40","modified_utc":"2021-10-29 11:35:40","url":"https:\/\/www.ibs.re.kr\/bimag\/event\/2021-10-29\/","rest_url":"https:\/\/www.ibs.re.kr\/bimag\/wp-json\/tribe\/events\/v1\/events\/5117","title":"The Graph convolutional Networks (GCN) with Persistent Homology and its application 1\/4","description":"<p>(1) GCN and its Application.<br \/>\nWe introduce the GCN by reviewing the monumental paper &#8221; Semi-Supervised Classification with the Graph Convolutional Networks&#8221;, ICLR 2018 by Kipf and Welling. We are going to much detail the algorithm of message aggregation and passings and learning processes.<br \/>\n<span style=\"font-size: 1rem;\">Code ; https:\/\/github.com\/tkipf\/gcn<\/span><\/p>\n<p>(2) Graph Attention networks(GAT) and its Applications. Bengio et al improved greatly the capability of GCN by employing the Attention mechanism to GCN on the paper,&#8221; Graph Attention Networks, ICLR,2018. We review closely the derivation of algirithms, learning processes and discuss its super performance.<br \/>\nCode; https:\/\/github.com\/PetarV-\/GAT<\/p>","excerpt":"","slug":"2021-10-29","image":false,"all_day":false,"start_date":"2021-10-29 15:00:00","start_date_details":{"year":"2021","month":"10","day":"29","hour":"15","minutes":"00","seconds":"00"},"end_date":"2021-10-29 17:00:00","end_date_details":{"year":"2021","month":"10","day":"29","hour":"17","minutes":"00","seconds":"00"},"utc_start_date":"2021-10-29 06:00:00","utc_start_date_details":{"year":"2021","month":"10","day":"29","hour":"06","minutes":"00","seconds":"00"},"utc_end_date":"2021-10-29 08:00:00","utc_end_date_details":{"year":"2021","month":"10","day":"29","hour":"08","minutes":"00","seconds":"00"},"timezone":"Asia\/Seoul","timezone_abbr":"KST","cost":"","cost_details":{"currency_symbol":"","currency_code":"","currency_position":"prefix","values":[]},"website":"","show_map":true,"show_map_link":true,"hide_from_listings":false,"sticky":false,"featured":false,"categories":[{"name":"Biomedical Mathematics Seminar","slug":"biomedical-mathematics-seminar","term_group":0,"term_taxonomy_id":220,"taxonomy":"tribe_events_cat","description":"","parent":231,"count":92,"filter":"raw","id":220,"urls":{"self":"https:\/\/www.ibs.re.kr\/bimag\/wp-json\/tribe\/events\/v1\/categories\/220","collection":"https:\/\/www.ibs.re.kr\/bimag\/wp-json\/tribe\/events\/v1\/categories","up":"https:\/\/www.ibs.re.kr\/bimag\/wp-json\/tribe\/events\/v1\/categories\/231"}}],"tags":[],"venue":{"id":5070,"author":"3","status":"publish","date":"2021-10-01 15:24:54","date_utc":"2021-10-01 06:24:54","modified":"2021-10-01 15:24:54","modified_utc":"2021-10-01 06:24:54","url":"https:\/\/www.ibs.re.kr\/bimag\/venue\/b378-seminar-room-ibs\/","venue":"B378 Seminar room, IBS","slug":"b378-seminar-room-ibs","address":"55 Expo-ro Yuseong-gu","city":"Daejeon","country":"Korea, Republic of","zip":"34126","json_ld":{"@type":"Place","name":"B378 Seminar room, IBS","description":"","url":"","address":{"@type":"PostalAddress","streetAddress":"55 Expo-ro Yuseong-gu","addressLocality":"Daejeon","postalCode":"34126","addressCountry":"Korea, Republic of"},"telephone":"","sameAs":""},"show_map":true,"show_map_link":true,"global_id":"www.ibs.re.kr\/bimag?id=5070","global_id_lineage":["www.ibs.re.kr\/bimag?id=5070"]},"organizer":[{"id":3971,"author":"3","status":"publish","date":"2021-02-23 18:10:12","date_utc":"2021-02-23 09:10:12","modified":"2021-02-23 18:10:12","modified_utc":"2021-02-23 09:10:12","url":"https:\/\/www.ibs.re.kr\/bimag\/organizer\/jae-kyoung-kim\/","organizer":"Jae Kyoung Kim","slug":"jae-kyoung-kim","email":"jaekkim@kaist.ac.kr","json_ld":{"@type":"Person","name":"Jae Kyoung Kim","description":"","url":"","telephone":"","email":"&#106;aekk&#105;m&#64;kai&#115;t.a&#99;.&#107;r","sameAs":""},"global_id":"www.ibs.re.kr\/bimag?id=3971","global_id_lineage":["www.ibs.re.kr\/bimag?id=3971"]}],"custom_fields":[],"json_ld":{"@context":"http:\/\/schema.org","@type":"Event","name":"The Graph convolutional Networks (GCN) with Persistent Homology and its application 1\/4","description":"&lt;p&gt;(1) GCN and its Application. We introduce the GCN by reviewing the monumental paper &quot; Semi-Supervised Classification with the Graph Convolutional Networks&quot;, ICLR 2018 by Kipf and Welling. We are &hellip; &lt;\/p&gt;\\n&lt;p class=&quot;link-more&quot;&gt;&lt;a href=&quot;https:\/\/www.ibs.re.kr\/bimag\/event\/2021-10-29\/&quot; class=&quot;more-link&quot;&gt;Continue reading&lt;span class=&quot;screen-reader-text&quot;&gt; &quot;The Graph convolutional Networks (GCN) with Persistent Homology and its application 1\/4&quot;&lt;\/span&gt;&lt;\/a&gt;&lt;\/p&gt;\\n","url":"https:\/\/www.ibs.re.kr\/bimag\/event\/2021-10-29\/","eventAttendanceMode":"https:\/\/schema.org\/OfflineEventAttendanceMode","eventStatus":"https:\/\/schema.org\/EventScheduled","startDate":"2021-10-29T15:00:00+09:00","endDate":"2021-10-29T17:00:00+09:00","location":{"@type":"Place","name":"B378 Seminar room, IBS","description":"","url":"","address":{"@type":"PostalAddress","streetAddress":"55 Expo-ro Yuseong-gu","addressLocality":"Daejeon","postalCode":"34126","addressCountry":"Korea, Republic of"},"telephone":"","sameAs":""},"organizer":{"@type":"Person","name":"Jae Kyoung Kim","description":"","url":"","telephone":"","email":"ja&#101;&#107;kim&#64;&#107;&#97;&#105;&#115;t&#46;ac&#46;k&#114;","sameAs":""},"performer":"Organization"}}