{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T23:17:45Z","timestamp":1730243865138,"version":"3.28.0"},"reference-count":11,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,5,15]],"date-time":"2024-05-15T00:00:00Z","timestamp":1715731200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,15]],"date-time":"2024-05-15T00:00:00Z","timestamp":1715731200000},"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":[[2024,5,15]]},"DOI":"10.1109\/ichms59971.2024.10555625","type":"proceedings-article","created":{"date-parts":[[2024,6,19]],"date-time":"2024-06-19T17:22:35Z","timestamp":1718817755000},"page":"1-4","source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Concept Completeness for Graph Neural Networks via Side-Channel"],"prefix":"10.1109","author":[{"given":"Yicong","family":"Li","sequence":"first","affiliation":[{"name":"Dalian University of Technology,School of Software,Dalian,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kuanjiu","family":"Zhou","sequence":"additional","affiliation":[{"name":"Dalian University of Technology,School of Software,City,Country"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingyu","family":"Fan","sequence":"additional","affiliation":[{"name":"Dalian University of Technology,School of Software,City,Country"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shaozhao","family":"Zhai","sequence":"additional","affiliation":[{"name":"Dalian University of Technology,School of Software,City,Country"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Muhammad Usman","family":"Arshad","sequence":"additional","affiliation":[{"name":"Dalian University of Technology,School of Software,City,Country"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Gnnexplainer: Generating explanations for graph neural networks","volume":"32","author":"Ying","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref2","first-page":"19620","article-title":"Parameterized explainer for graph neural network","volume":"33","author":"Luo","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref3","first-page":"12225","article-title":"Pgm-explainer: Probabilistic graphical model explanations for graph neural networks","volume":"33","author":"Minh","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403085"},{"key":"ref5","article-title":"A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability","author":"Dai","year":"2022","journal-title":"arXiv preprint arXiv:2204.08570"},{"key":"ref6","first-page":"1","article-title":"A New Concept for Explaining Graph Neural Networks","author":"Himmelhuber","year":"2021","journal-title":"In NeSy"},{"key":"ref7","first-page":"2668","article-title":"Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)","volume-title":"Proceedings of the 35th International Conference on Machine Learning","volume":"80","author":"Kim"},{"key":"ref8","first-page":"5338","article-title":"Concept bottleneck models","volume-title":"In International conference on machine learning","author":"Koh"},{"key":"ref9","article-title":"GCExplainer: Human-in-the-Loop Concept-based Explanations for Graph Neural Networks","author":"Magister","year":"2021","journal-title":"arXiv preprint arXiv:2107.11889"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20623"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.354"}],"event":{"name":"2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)","start":{"date-parts":[[2024,5,15]]},"location":"Toronto, ON, Canada","end":{"date-parts":[[2024,5,17]]}},"container-title":["2024 IEEE 4th International Conference on Human-Machine Systems (ICHMS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10555565\/10555582\/10555625.pdf?arnumber=10555625","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,25]],"date-time":"2024-06-25T19:14:48Z","timestamp":1719342888000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10555625\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,15]]},"references-count":11,"URL":"https:\/\/doi.org\/10.1109\/ichms59971.2024.10555625","relation":{},"subject":[],"published":{"date-parts":[[2024,5,15]]}}}