Graph Representation Learning |https://tiao.io/tags/graph-representation-learning/Graph Representation LearningHugoBlox Kit (https://hugoblox.com)en-usFri, 25 Sep 2020 00:00:00 +0000https://tiao.io/media/icon_hu_9c2a75fde2335590.pngGraph Representation Learninghttps://tiao.io/tags/graph-representation-learning/📄 One paper accepted to NeurIPS 2020https://tiao.io/posts/one-paper-accepted-to-neurips2020/Fri, 25 Sep 2020 00:00:00 +0000https://tiao.io/posts/one-paper-accepted-to-neurips2020/<p>Our paper was accepted to NeurIPS 2020 as a <strong>Spotlight Presentation</strong> (awarded to the top 3% of submissions). This is joint work with Pantelis Elinas and Edwin Bonilla.</p>Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial Settingshttps://tiao.io/publications/vi-gcn-2/Mon, 01 Jun 2020 00:00:00 +0000https://tiao.io/publications/vi-gcn-2/<p>This paper is a follow-up to our , previously presented at the NeurIPS2019 Graph Representation Learning Workshop, now with significantly expanded experimental analyses.</p> <div id="presentation-embed-38937946"></div> <script src='https://slideslive.com/embed_presentation.js'></script> <script> embed = new SlidesLiveEmbed('presentation-embed-38937946', { presentationId: '38937946', autoPlay: false, // change to true to autoplay the embedded presentation verticalEnabled: true }); </script>Variational Graph Convolutional Networkshttps://tiao.io/publications/vi-gcn-1/Sun, 01 Dec 2019 00:00:00 +0000https://tiao.io/publications/vi-gcn-1/