{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,23]],"date-time":"2025-06-23T11:04:13Z","timestamp":1750676653885,"version":"3.37.3"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004190","name":"NSF","doi-asserted-by":"publisher","award":["OAC-1755464"],"award-info":[{"award-number":["OAC-1755464"]}],"id":[{"id":"10.13039\/501100004190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9534393","type":"proceedings-article","created":{"date-parts":[[2021,9,23]],"date-time":"2021-09-23T22:32:08Z","timestamp":1632436328000},"page":"1-8","source":"Crossref","is-referenced-by-count":8,"title":["Predicting Autism Spectrum Disorder from Brain Imaging Data by Graph Convolutional Network"],"prefix":"10.1109","author":[{"given":"Yueen","family":"Ma","sequence":"first","affiliation":[]},{"given":"Da","family":"Yan","sequence":"additional","affiliation":[]},{"given":"Cheng","family":"Long","sequence":"additional","affiliation":[]},{"given":"D.","family":"Rangaprakash","sequence":"additional","affiliation":[]},{"given":"Gopikrishna","family":"Deshpande","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"NIPS"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.nicl.2017.08.017"},{"key":"ref12","article-title":"Semi-supervised classification with graph convolutional networks","author":"kipf","year":"2017","journal-title":"ICLRE"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11682-019-00191-8"},{"key":"ref14","first-page":"3734","article-title":"Self-attention graph pooling","volume":"97","author":"lee","year":"2019","journal-title":"ICML"},{"key":"ref15","first-page":"3538","article-title":"Deeper insights into graph convolutional networks for semi-supervised learning","author":"li","year":"2018","journal-title":"AAAI"},{"key":"ref16","article-title":"Gated graph sequence neural networks","author":"li","year":"2016","journal-title":"ICLRE"},{"journal-title":"Simple and deep graph convolutional networks","year":"2020","author":"chen","key":"ref17"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.06.001"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2014.09.007"},{"key":"ref28","article-title":"Hierarchical graph pooling with structure learning","author":"zhang","year":"2019","journal-title":"CoRR"},{"key":"ref4","article-title":"Fastgcn: Fast learning with graph convolutional networks via importance sampling","author":"chen","year":"2018","journal-title":"ICLRE"},{"key":"ref27","first-page":"4438","article-title":"An end-to-end deep learning architecture for graph classification","author":"zhang","year":"2018","journal-title":"AAAI"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"3438","DOI":"10.1609\/aaai.v34i04.5747","article-title":"Measuring and relieving the over-smoothing problem for graph neural networks from the topological view","author":"chen","year":"2020","journal-title":"AAAI"},{"key":"ref6","first-page":"2224","article-title":"Convolutional networks on graphs for learning molecular fingerprints","author":"duvenaud","year":"2015","journal-title":"NIPS"},{"key":"ref29","article-title":"Pairnorm: Tackling oversmoothing in gnns","author":"zhao","year":"2020","journal-title":"ICLRE"},{"key":"ref5","first-page":"3837","article-title":"Convolutional neural networks on graphs with fast localized spectral filtering","author":"defferrard","year":"2016","journal-title":"NIPS"},{"key":"ref8","first-page":"1263","article-title":"Neural message passing for quantum chemistry","volume":"70","author":"gilmer","year":"2017","journal-title":"ICML"},{"key":"ref7","first-page":"2083","article-title":"Graph u-nets","volume":"97","author":"gao","year":"2019","journal-title":"ICML"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.102099"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref1","article-title":"Spectral networks and locally connected networks on graphs","author":"bruna","year":"2014","journal-title":"ICLRE"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00803"},{"key":"ref22","first-page":"6861","article-title":"Simplifying graph convolutional networks","volume":"97","author":"wu","year":"2019","journal-title":"ICML"},{"key":"ref21","article-title":"Graph attention networks","author":"velickovic","year":"2018","journal-title":"ICLRE"},{"key":"ref24","article-title":"Revisiting “over-smoothing” in deep gens","author":"yang","year":"2020","journal-title":"CoRR"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2019.00806"},{"key":"ref26","first-page":"4805","article-title":"Hierarchical graph representation learning with differentiable pooling","author":"ying","year":"2018","journal-title":"NeurIPS"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2021,7,18]]},"location":"Shenzhen, China","end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09534393.pdf?arnumber=9534393","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:46:02Z","timestamp":1652197562000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9534393\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9534393","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}