{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T03:24:21Z","timestamp":1725593061221},"reference-count":40,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1109\/ijcnn.2019.8852191","type":"proceedings-article","created":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T03:44:32Z","timestamp":1569901472000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["An Attention-Based Model for Learning Dynamic Interaction Networks"],"prefix":"10.1109","author":[{"given":"Sandro","family":"Cavallari","sequence":"first","affiliation":[]},{"given":"Soujanya","family":"Poria","sequence":"additional","affiliation":[]},{"given":"Erik","family":"Cambria","sequence":"additional","affiliation":[]},{"given":"Vincent W.","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Hongyun","family":"Cai","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"article-title":"Adam: A method for stochastic optimization","year":"2014","author":"kingma","key":"ref39"},{"article-title":"Layer normalization","year":"2016","author":"ba","key":"ref38"},{"article-title":"Semi-supervised classification with graph convolutional networks","year":"2016","author":"kipf","key":"ref33"},{"key":"ref32","first-page":"3844","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","author":"defferrard","year":"2016","journal-title":"NIPS"},{"article-title":"Spectral networks and locally connected networks on graphs","year":"2013","author":"bruna","key":"ref31"},{"article-title":"Graph attention networks","year":"2017","author":"velickovic","key":"ref30"},{"article-title":"Embedding entities and relations for learning and inference in knowledge bases","year":"2014","author":"yang","key":"ref37"},{"key":"ref36","first-page":"6000","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"NIPS"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"ref10","first-page":"4502","article-title":"Interaction networks for learning about objects, relations and physics","author":"battaglia","year":"2016","journal-title":"NIPS"},{"article-title":"Language models are unsupervised multitask learners","year":"2018","author":"radford","key":"ref40"},{"article-title":"Neural relational inference for interacting systems","year":"2018","author":"kipf","key":"ref11"},{"key":"ref12","first-page":"6530","article-title":"Protein interface prediction using graph convolutional networks","author":"fout","year":"2017","journal-title":"NIPS"},{"article-title":"Hybrid approach of relation network and localized graph convolutional filtering for breast cancer subtype classification","year":"2017","author":"rhee","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2017\/250"},{"article-title":"Large-scale point cloud semantic segmentation with superpoint graphs","year":"2017","author":"landrieu","key":"ref15"},{"key":"ref16","first-page":"125","article-title":"Semantic object parsing with graph lstm","author":"liang","year":"2016","journal-title":"ECCV"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1159"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1156"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-88693-8_30"},{"article-title":"Neural message passing for quantum chemistry","year":"2017","author":"gilmer","key":"ref28"},{"key":"ref4","article-title":"Graph2seq: Scalable learning dynamics for graphs","author":"venkatakrishnan","year":"2018","journal-title":"arXiv 1802 04948"},{"key":"ref27","article-title":"Gated graph sequence neural networks","author":"li","year":"2015","journal-title":"CoRR"},{"key":"ref3","article-title":"Recurrent neural network based language model","author":"mikolov","year":"2010","journal-title":"ISCA"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3132847.3132925"},{"key":"ref29","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"NIPS"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.494"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052575"},{"key":"ref1","first-page":"1764","article-title":"Towards end-to-end speech recognition with recurrent neural networks","author":"graves","year":"2014","journal-title":"ICML"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.6044588"},{"key":"ref22","first-page":"5308","article-title":"Structural-RNN: Deep learning on spatio-temporal graphs","author":"jain","year":"2016","journal-title":"CVPR"},{"key":"ref21","first-page":"1010","article-title":"Discovering spatiotemporal causal interactions in traffic data streams","author":"liu","year":"2011","journal-title":"SIGKDD"},{"key":"ref24","article-title":"Relational neural expectation maximization: Unsupervised discovery of objects and their interactions","author":"van steenkiste","year":"2018","journal-title":"arXiv 1802 10353"},{"key":"ref23","article-title":"A simple neural network module for relational reasoning","author":"santoro","year":"2017","journal-title":"arXiv 1706 01427"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TNN.2008.2005605"},{"article-title":"Deep learning on graphs: A survey","year":"2018","author":"zhang","key":"ref25"}],"event":{"name":"2019 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2019,7,14]]},"location":"Budapest, Hungary","end":{"date-parts":[[2019,7,19]]}},"container-title":["2019 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8840768\/8851681\/08852191.pdf?arnumber=8852191","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,17]],"date-time":"2022-07-17T21:51:49Z","timestamp":1658094709000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8852191\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/ijcnn.2019.8852191","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}