{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T12:52:10Z","timestamp":1730292730905,"version":"3.28.0"},"reference-count":27,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,10,1]],"date-time":"2020-10-01T00:00:00Z","timestamp":1601510400000},"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":[[2020,10]]},"DOI":"10.1109\/rivf48685.2020.9140729","type":"proceedings-article","created":{"date-parts":[[2020,7,15]],"date-time":"2020-07-15T21:32:06Z","timestamp":1594848726000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Efficient Graph Classification via Graph Encoding Networks"],"prefix":"10.1109","author":[{"given":"Tuyen","family":"Thanh Thi Ho","sequence":"first","affiliation":[]},{"given":"Hung","family":"Vu","sequence":"additional","affiliation":[]},{"given":"Bac","family":"Le","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"article-title":"Variational Graph Auto-Encoders","year":"2016","author":"kipf","key":"ref10"},{"key":"ref11","article-title":"Semi-Supervised Classification with Graph Convolutional Networks","author":"kipf","year":"2017","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref12","article-title":"Representation Learning on Networks","author":"leskovec","year":"2018","journal-title":"WWW-18 Tutorial"},{"key":"ref13","first-page":"3538","article-title":"Deeper Insights Into Graph Convolutional Networks for Semi-Supervised Learning","author":"li","year":"2018","journal-title":"Proc Of the Conference on Artificial Intelligence (AAAI)"},{"article-title":"Capsule Neural Networks for Graph Classification using Explicit Tensorial Graph Representations","year":"2019","author":"daniel gutierrez mallea","key":"ref14"},{"key":"ref15","article-title":"PiNet: A Permutation Invariant Graph Neural Network for Graph Classification","author":"meltzer","year":"2019","journal-title":"CoRR"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014602"},{"key":"ref17","first-page":"2014","article-title":"Learning Convolutional Neural Networks for Graphs","author":"niepert","year":"2016","journal-title":"Proceedings of The 33rd International Conference on Machine Learning (ICML) volume 48 of Proceedings of Machine Learning Research"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2235192"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01418-6_41"},{"article-title":"Deep Learning","year":"2016","author":"goodfellow","key":"ref4"},{"key":"ref27","first-page":"4438","article-title":"An End-to-End Deep Learning Architecture for Graph Classification","author":"zhang","year":"2018","journal-title":"Proc Of the Conference on Artificial Intelligence (AAAI)"},{"key":"ref3","first-page":"37","article-title":"Autoencoders, Unsupervised Learning and Deep Architectures","author":"baldi","year":"2011","journal-title":"Proceedings of International Conference on Unsupervised and Transfer Learning Workshop (UTLW)"},{"key":"ref6","first-page":"52","article-title":"Representation Learning on Graphs: Methods and Applications","volume":"40","author":"hamilton","year":"2017","journal-title":"IEEE Data Eng Bull"},{"key":"ref5","first-page":"1024","article-title":"Inductive Representation Learning on Large Graphs","author":"hamilton","year":"2017","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"article-title":"Auto-Encoding Variational Bayes","year":"2014","author":"kingma","key":"ref8"},{"key":"ref7","first-page":"2186","article-title":"Anonymous Walk Embeddings","volume":"80","author":"ivanov","year":"2018","journal-title":"Proc of the International Conference on Machine Learning (ICML)"},{"key":"ref2","first-page":"1993","article-title":"Diffusion-Convolutional Neural Networks","author":"atwood","year":"2016","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref9","article-title":"Adam: A Method for Stochastic Optimization","author":"kingma","year":"2015","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313668"},{"key":"ref20","article-title":"A Comprehensive Survey on Graph Neural Networks","author":"wu","year":"2019","journal-title":"CoRR"},{"key":"ref22","article-title":"Graph Wavelet Neural Network","author":"xu","year":"2019","journal-title":"7th International Conference on Learning Representations ICLR 2019"},{"key":"ref21","article-title":"Capsule Graph Neural Network","author":"xinyi","year":"2019","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783417"},{"key":"ref23","article-title":"How Powerful are Graph Neural Networks?","author":"xu","year":"2019","journal-title":"International Conference on Learning Representations (ICLR)"},{"key":"ref26","first-page":"3391","article-title":"Deep Sets","author":"zaheer","year":"2017","journal-title":"Advances in Neural Information Processing Systems (NIPS)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271697"}],"event":{"name":"2020 RIVF International Conference on Computing and Communication Technologies (RIVF)","start":{"date-parts":[[2020,10,14]]},"location":"Ho Chi Minh, Vietnam","end":{"date-parts":[[2020,10,15]]}},"container-title":["2020 RIVF International Conference on Computing and Communication Technologies (RIVF)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9138608\/9140725\/09140729.pdf?arnumber=9140729","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:51:18Z","timestamp":1656453078000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9140729\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":27,"URL":"https:\/\/doi.org\/10.1109\/rivf48685.2020.9140729","relation":{},"subject":[],"published":{"date-parts":[[2020,10]]}}}