{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T01:02:47Z","timestamp":1740099767165,"version":"3.37.3"},"reference-count":40,"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"}],"funder":[{"DOI":"10.13039\/100009950","name":"Ministry of Education","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100009950","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1109\/issre5003.2020.00037","type":"proceedings-article","created":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T21:52:40Z","timestamp":1605131560000},"page":"313-324","source":"Crossref","is-referenced-by-count":7,"title":["Detecting Implementation Bugs in Graph Convolutional Network based Node Classifiers"],"prefix":"10.1109","author":[{"given":"Yiwei","family":"Wang","sequence":"first","affiliation":[]},{"given":"Wei","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Yujun","family":"Cai","sequence":"additional","affiliation":[]},{"given":"Bryan","family":"Hooi","sequence":"additional","affiliation":[]},{"given":"Beng Chin","family":"Ooi","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"journal-title":"Mutpy 0 4 0 mutation testing tool for python 3 x","year":"2017","author":"halas","key":"ref39"},{"journal-title":"The Python Language Reference","year":"2010","author":"vanrossum","key":"ref38"},{"key":"ref33","doi-asserted-by":"crossref","DOI":"10.1609\/aaai.v31i1.10851","article-title":"Column networks for collective classification","author":"pham","year":"2017","journal-title":"Thirty-First AAAI Conference on Artificial Intelligence"},{"key":"ref32","first-page":"1024","article-title":"Inductive representation learning on large graphs","author":"hamilton","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/MET.2017.2"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/3234150"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-78866-1"},{"journal-title":"Pattern Recognition and Machine Learning","year":"2006","author":"bishop","key":"ref36"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638312"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186116"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MET.2019.00014"},{"key":"ref40","first-page":"265","article-title":"Tensorflow: A system for large-scale machine learning","author":"abadi","year":"2016","journal-title":"12th USENIX Symposium on Operating Systems Design and Implementation ( OSDI 16)"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2010.62"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3358695.3360934"},{"journal-title":"About deterministic behaviour of gpu implementation of tensorfiow","year":"2017","key":"ref13"},{"journal-title":"(non) determinism in tf","year":"2017","key":"ref14"},{"key":"ref15","article-title":"Representation learning on graphs with jumping knowledge networks","author":"xu","year":"2018","journal-title":"arXiv preprint arXiv 1806 03536"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219947"},{"key":"ref17","article-title":"Graphsaint: Graph sampling based inductive learning method","author":"zeng","year":"2019","journal-title":"arXiv preprint arXiv 1907 04931"},{"key":"ref18","article-title":"Collective classification of network data","volume":"399","author":"london","year":"2014","journal-title":"Data Classification Algorithms and Applications"},{"key":"ref19","article-title":"Pitfalls of graph neural network evaluation","author":"shchur","year":"2018","journal-title":"arXiv preprint arXiv 1811 05868"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2014.2372785"},{"key":"ref4","article-title":"A comprehensive survey on graph neural networks","author":"wu","year":"2019","journal-title":"arXiv preprint arXiv 1901 04217"},{"journal-title":"Empirical Evaluation of Approaches to Testing Applications Without Test Oracles","year":"2010","author":"murphy","key":"ref27"},{"journal-title":"Semi-supervised classification with graph convolutional networks","year":"2016","author":"kipf","key":"ref3"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01103"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/QSIC.2009.26"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2017.10.006"},{"journal-title":"Metamorphic Testing A New Approach for Generating next Test Cases","year":"1998","author":"chen","key":"ref8"},{"key":"ref7","article-title":"Machine learning testing: Survey, landscapes and horizons","author":"zhang","year":"2019","journal-title":"arXiv preprint arXiv 1906 10026"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3213846.3213858"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10822-016-9938-8"},{"journal-title":"An approach to software testing of machine learning applications","year":"2007","author":"murphy","key":"ref20"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.jss.2010.11.920"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1093\/comjnl\/25.4.465"},{"key":"ref24","article-title":"Multiple-implementation testing of supervised learning software","author":"srisakaokul","year":"2018","journal-title":"Workshops at the Thirtieth AAAI Conference on Artificial Intelligence"},{"key":"ref23","first-page":"3047","author":"selsam","year":"2017","journal-title":"Proceedings of the 34th International Conference on Machine Learning-Volume 70"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TSE.2013.46"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ICST.2009.19"}],"event":{"name":"2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE)","start":{"date-parts":[[2020,10,12]]},"location":"Coimbra, Portugal","end":{"date-parts":[[2020,10,15]]}},"container-title":["2020 IEEE 31st International Symposium on Software Reliability Engineering (ISSRE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9250925\/9250926\/09251083.pdf?arnumber=9251083","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,27]],"date-time":"2022-11-27T19:14:18Z","timestamp":1669576458000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9251083\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/issre5003.2020.00037","relation":{},"subject":[],"published":{"date-parts":[[2020,10]]}}}