{"id":609,"date":"2025-07-15T18:25:26","date_gmt":"2025-07-15T18:25:26","guid":{"rendered":"https:\/\/ccds.ai\/?p=609"},"modified":"2025-08-10T18:15:11","modified_gmt":"2025-08-10T18:15:11","slug":"predicting-association-between-entities-in-heterogeneous-biological-networks","status":"publish","type":"post","link":"https:\/\/ccds.ai\/?p=609","title":{"rendered":"Predicting Association Between Entities in Heterogeneous Biological Networks"},"content":{"rendered":"\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-md4v8xoy-f6363cfd52c28b662f3d8999bca16364\">\n.avia-image-container.av-md4v8xoy-f6363cfd52c28b662f3d8999bca16364 img.avia_image{\nbox-shadow:none;\n}\n.avia-image-container.av-md4v8xoy-f6363cfd52c28b662f3d8999bca16364 .av-image-caption-overlay-center{\ncolor:#ffffff;\n}\n<\/style>\n<div  class='avia-image-container av-md4v8xoy-f6363cfd52c28b662f3d8999bca16364 av-styling- avia-align-center  avia-builder-el-0  el_before_av_section  avia-builder-el-no-sibling '   itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><div class=\"avia-image-container-inner\"><div class=\"avia-image-overlay-wrap\"><img fetchpriority=\"high\" fetchpriority=\"high\" decoding=\"async\" class='wp-image-612 avia-img-lazy-loading-not-612 avia_image ' src=\"https:\/\/ccds.ai\/wp-content\/uploads\/2025\/07\/bio-network-300x240.png\" alt='' title='bio-network'  height=\"240\" width=\"300\"  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/ccds.ai\/wp-content\/uploads\/2025\/07\/bio-network-300x240.png 300w, https:\/\/ccds.ai\/wp-content\/uploads\/2025\/07\/bio-network.png 651w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/div><\/div><\/div>\n<\/div><\/div><\/div><!-- close content main div --><\/div><\/div><div id='av_section_1'  class='avia-section av-8m4tl-8e90c532d08bf6c702266bcca69b0514 main_color avia-section-default avia-no-border-styling  avia-builder-el-1  el_after_av_image  avia-builder-el-last  avia-bg-style-scroll container_wrap fullsize'  ><div class='container av-section-cont-open' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-609'><div class='entry-content-wrapper clearfix'>\n\n<style type=\"text\/css\" data-created_by=\"avia_inline_auto\" id=\"style-css-av-md4v3nn3-adfa104ba6870e85919053c6f5f43107\">\n#top .av_textblock_section.av-md4v3nn3-adfa104ba6870e85919053c6f5f43107 .avia_textblock{\ntext-align:center;\n}\n<\/style>\n<section  class='av_textblock_section av-md4v3nn3-adfa104ba6870e85919053c6f5f43107'  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock'  itemprop=\"text\" ><p>Heterogeneity is inherent in biological networks which consist of different entities as nodes (i.e., genes, diseases, drugs, function) and represent the relationships between these entities as edges. Predicting potential associations between biological entities currently has been an important problem in biomedical research. In general, a deep learning model uses the contextual information and structures of the heterogeneous networks to identify the associations. This project will utilize powerful tools, e.g., GNN &amp; MRF, to develop a more accurate, explainable model for link predictions in heterogeneous networks. Dr. Azad Abul Kalam will collaborate with us on this project.<\/p>\n<\/div><\/section>\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":2,"featured_media":612,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[89],"tags":[],"class_list":["post-609","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comp_bio_projects"],"acf":[],"jetpack_featured_media_url":"https:\/\/ccds.ai\/wp-content\/uploads\/2025\/07\/bio-network.png","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts\/609","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=609"}],"version-history":[{"count":3,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts\/609\/revisions"}],"predecessor-version":[{"id":614,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/posts\/609\/revisions\/614"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=\/wp\/v2\/media\/612"}],"wp:attachment":[{"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=609"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=609"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ccds.ai\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=609"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}