{"id":7595,"date":"2026-03-11T10:35:51","date_gmt":"2026-03-11T09:35:51","guid":{"rendered":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/acmes-translated\/aref-einizade-traduit\/"},"modified":"2026-03-11T10:35:51","modified_gmt":"2026-03-11T09:35:51","slug":"aref-einizade-traduit","status":"publish","type":"page","link":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/en\/acmes-translated\/aref-einizade-traduit\/","title":{"rendered":"Aref EINIZADE (traduit)"},"content":{"rendered":"<div class=\"bandeau-personnel MonLaboUser\"><img decoding=\"async\" src=\"https:\/\/samovar.telecom-sudparis.eu\/wp-content\/uploads\/2026\/03\/Aref-EINIZADE.jpg\" class=\"wp-image-6 alignleft img-arrondi wp-post-image\" height=\"150\" width=\"150\" alt=\" \" \/><div class=\"adresse\"><p>SAMOVAR - SAMOVAR<br \/>Telecom SudParis<br \/>\r\n9 rue Charles Fourier<br \/>\r\n91011 EVRY CEDEX<\/p><p>Fax : +33 (0) 1 60 76 20 80<\/p><\/div><div class=\"monlaboBlocTexte\"><h1>Aref <span class=\"MonLabo-lastname\">EINIZADE<\/span><\/h1><div class=\"coordonnees\"><em>Ma\u00eetre de Conf\u00e9rences<\/em><br \/><span class=\"team-description\"><a href=\"https:\/\/samovar.telecom-sudparis.eu\/?page_id=1335\" class=\"MonLaboLink\"><span class=\"MonLabo_team_name\">ARMEDIA<\/span><\/a><\/span><\/div><div class=\"coordonnees\"><span class=\"MonLabo-email\">aref.einizade[&#64;<span>-Code to remove to avoid SPAM-<\/span>]telecom-sudparis.eu<\/span><\/div><div class=\"external_url\"><h1 style=\"text-align: center;\"><a href=\"https:\/\/arefeinizade.github.io\/\"><button class=\"btn btn-oldstyle\" type=\"button\">Site personnel<\/button><\/a><\/h1><\/div><\/div><\/div>\n\n\n\n<p><\/p>\n\n\n\n<div id=\"res_script\">\n<p class='Rubrique'>Article dans une revue<\/p>\n<p class='SousRubrique'>2024<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Aref Einizade, Jhony H. Giraldo, Fragkiskos D. Malliaros, Sepideh Hajipour Sardouie. Estimation of a causal directed acyclic graph process using non-gaussianity. <i>Digital Signal Processing<\/i>, 2024, 146, pp.104400. <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1016\/j.dsp.2024.104400\">&#x27E8;10.1016\/j.dsp.2024.104400&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-04541701v1\">&#x27E8;hal-04541701&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-04541701\/file\/Estimation_of_a_Causal_Directed_Acyclic_Graph_Process_using_Non_Gaussianity%20%281%29.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-04541701\/file\/Estimation_of_a_Causal_Directed_Acyclic_Graph_Process_using_Non_Gaussianity%20%281%29.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-04541701\/file\/Estimation_of_a_Causal_Directed_Acyclic_Graph_Process_using_Non_Gaussianity%20%281%29.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-04541701v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Jhony Giraldo, Aref Einizade, Andjela Todorovic, Jhon Castro-Correa, Mohsen Badiey, et al.. Higher-Order GNNs Meet Efficiency: Sparse Sobolev Graph Neural Networks. <i>IEEE Transactions on Signal and Information Processing over Networks<\/i>, 2024, 11, pp.11-22. <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1109\/TSIPN.2024.3503416\">&#x27E8;10.1109\/TSIPN.2024.3503416&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-04801077v1\">&#x27E8;hal-04801077&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-04801077\/file\/2411.04570v1.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-04801077\/file\/2411.04570v1.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-04801077\/file\/2411.04570v1.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-04801077v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='Rubrique'>Communication dans un congr\u00e8s<\/p>\n<p class='SousRubrique'>2025<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Aref Einizade, Dorina Thanou, Fragkiskos D Malliaros, Jhony Heriberto Giraldo Zuluaga. Continuous Simplicial Neural Networks. <i>NeurIPS 2025 - 39th Annual Conference on Neural Information Processing Systems<\/i>, Dec 2025, San Diego, United States. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-05464217v1\">&#x27E8;hal-05464217&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-05464217\/file\/NeurIPS_2025_COSIMO.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-05464217\/file\/NeurIPS_2025_COSIMO.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-05464217\/file\/NeurIPS_2025_COSIMO.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-05464217v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Shifeng Xie, Aref Einizade, Jhony Giraldo. Subgraph Gaussian Embedding Contrast for\u00a0Self-supervised Graph Representation Learning. <i>Joint European Conference on Machine Learning and Knowledge Discovery in Databases<\/i>, Sep 2025, Porto, France. pp.430-447, <a target=\"_blank\" href=\"https:\/\/dx.doi.org\/10.1007\/978-3-032-06106-5_25\">&#x27E8;10.1007\/978-3-032-06106-5_25&#x27E9;<\/a>. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-05490526v1\">&#x27E8;hal-05490526&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-05490526\/file\/Subgraph_Gaussian_Embedding_Contrast___ECML__Arxiv.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-05490526\/file\/Subgraph_Gaussian_Embedding_Contrast___ECML__Arxiv.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-05490526\/file\/Subgraph_Gaussian_Embedding_Contrast___ECML__Arxiv.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-05490526v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<p class='SousRubrique'>2024<\/p>\n<dl class='NoticeRes'>\n<dt class=\"ChampRes\">ref_biblio<\/dt><dd class=\"ValeurRes ref_biblio\">Aref Einizade, Fragkiskos D. Malliaros, Jhony H. Giraldo. Continuous Product Graph Neural Networks. <i>NeurIPS 2024 - 38th Conference on Neural Information Processing Systems<\/i>, Dec 2024, Vancouver (BC), Canada. <a target=\"_blank\" href=\"https:\/\/hal.science\/hal-04896043v1\">&#x27E8;hal-04896043&#x27E9;<\/a><\/dd>\n<dt class=\"ChampRes\">Acc\u00e8s au texte int\u00e9gral et bibtex<\/dt>\n<dd class=\"ValeurRes Fichier_joint\">\n<a href=\"https:\/\/hal.science\/hal-04896043\/file\/CITRUS_NeurIPS_2024.pdf\"  target=\"_blank\">\n<img decoding=\"async\" alt=\"https:\/\/hal.science\/hal-04896043\/file\/CITRUS_NeurIPS_2024.pdf\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_pdf.png\" border=\"0\" title=\"https:\/\/hal.science\/hal-04896043\/file\/CITRUS_NeurIPS_2024.pdf\" \/><\/a>\n<span class=\"LienBibtexACoteFulltext\"><a href=\"https:\/\/hal.science\/hal-04896043v1\/bibtex\" target=\"_self\">\n<img decoding=\"async\" alt=\"BibTex\" src=\"https:\/\/haltools.archives-ouvertes.fr\/images\/Haltools_bibtex3.png\" border=\"0\"  title=\"BibTex\" \/><\/a>\n<\/span><\/dd>\n<\/dl>\n<\/div>\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":4,"featured_media":0,"parent":6590,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"","ocean_second_sidebar":"","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"","ocean_custom_header_template":"","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"","ocean_menu_typo_font_family":"","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"","footnotes":""},"class_list":["post-7595","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/pages\/7595","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/comments?post=7595"}],"version-history":[{"count":0,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/pages\/7595\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/pages\/6590"}],"wp:attachment":[{"href":"https:\/\/samovar.telecom-sudparis.eu\/index.php\/wp-json\/wp\/v2\/media?parent=7595"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}