{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,30]],"date-time":"2026-01-30T09:27:06Z","timestamp":1769765226044,"version":"3.49.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,12,5]],"date-time":"2023-12-05T00:00:00Z","timestamp":1701734400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,12,5]],"date-time":"2023-12-05T00:00:00Z","timestamp":1701734400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,12,5]]},"DOI":"10.1109\/bibm58861.2023.10385740","type":"proceedings-article","created":{"date-parts":[[2024,1,18]],"date-time":"2024-01-18T18:27:43Z","timestamp":1705602463000},"page":"718-725","source":"Crossref","is-referenced-by-count":4,"title":["FACExplainer: Generating Model-faithful Explanations for Graph Neural Networks Guided by Spatial Information"],"prefix":"10.1109","author":[{"given":"Hua","family":"Yang","sequence":"first","affiliation":[{"name":"South China University of Technology,School of Computer Science & Engineering,Guangzhou,China,510006"}]},{"given":"C. L.","family":"Philip Chen","sequence":"additional","affiliation":[{"name":"South China University of Technology,School of Computer Science & Engineering,Guangzhou,China,510006"}]},{"given":"Bianna","family":"Chen","sequence":"additional","affiliation":[{"name":"South China University of Technology,School of Computer Science & Engineering,Guangzhou,China,510006"}]},{"given":"Tong","family":"Zhang","sequence":"additional","affiliation":[{"name":"South China University of Technology,School of Computer Science & Engineering,Guangzhou,China,510006"}]}],"member":"263","reference":[{"key":"ref1","first-page":"11 906","article-title":"Dstagnn: Dynamic spatial-temporal aware graph neural network for traffic flow forecasting","volume-title":"International Conference on Machine Learning","author":"Lan"},{"key":"ref2","article-title":"Graph convolutional policy network for goal-directed molecular graph generation","volume":"31","author":"You","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btab174"},{"key":"ref4","article-title":"Gnnexplainer: Generating explanations for graph neural networks","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Ying","year":"2019"},{"key":"ref5","first-page":"19 620","article-title":"Parameterized explainer for graph neural network","volume-title":"Advances in Neural Information Processing Systems","volume":"33","author":"Luo","year":"2020"},{"key":"ref6","first-page":"6666","article-title":"Generative causal explanations for graph neural networks","volume-title":"Proceedings of the 38th International Conference on Machine Learning","volume":"139","author":"Lin"},{"key":"ref7","first-page":"12 241","article-title":"On explainability of graph neural networks via subgraph explorations","volume-title":"Proceedings of the 38th International Conference on Machine Learning","volume":"139","author":"Yuan"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01336"},{"key":"ref9","first-page":"19 810","article-title":"Gstarx: Explaining graph neural networks with structure-aware cooperative games","volume-title":"Advances in Neural Information Processing Systems","volume":"35","author":"Zhang","year":"2022"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01103"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW50498.2020.00020"},{"key":"ref14","article-title":"How powerful are graph neural networks?","volume-title":"International Conference on Learning Representations","author":"Xu"},{"key":"ref15","article-title":"A new perspective on how graph neural networks go beyond weisfeiler-lehman?","volume-title":"International Conference on Learning Representations","author":"Wijesinghe"},{"issue":"9","key":"ref16","first-page":"12","article-title":"A reduction of a graph to a canonical form and an algebra arising during this reduction","volume":"2","author":"Leman","year":"1968","journal-title":"Nauchno-Technicheskaya Informatsiya"},{"key":"ref17","article-title":"L-shapley and c-shapley: Efficient model interpretation for structured data","author":"Chen","year":"2018"},{"issue":"28","key":"ref18","volume-title":"Contributions to the Theory of Games","author":"Kuhn","year":"1953"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.3321\/j.issn:0529-6579.2007.z1.029"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3204236"},{"key":"ref21","article-title":"Real time image saliency for black box classifiers","volume-title":"Advances in Neural Information Processing Systems","volume":"30","author":"Dabkowski","year":"2017"},{"key":"ref22","first-page":"15 524","article-title":"Interpretable and generalizable graph learning via stochastic attention mechanism","volume-title":"Proceedings of the 39th International Conference on Machine Learning","volume":"162","author":"Miao"},{"key":"ref23","first-page":"15 920","article-title":"Adversarial graph augmentation to improve graph contrastive learning","volume":"34","author":"Suresh","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref24","article-title":"Graphframex: Towards systematic evaluation of explainability methods for graph neural networks","author":"Amara","year":"2022"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783417"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1021\/jm00106a046"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1039\/C7SC02664A"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.14711\/thesis-991012757468803412"}],"event":{"name":"2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","location":"Istanbul, Turkiye","start":{"date-parts":[[2023,12,5]]},"end":{"date-parts":[[2023,12,8]]}},"container-title":["2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10385250\/10385251\/10385740.pdf?arnumber=10385740","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,16]],"date-time":"2025-04-16T17:44:23Z","timestamp":1744825463000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10385740\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,12,5]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/bibm58861.2023.10385740","relation":{},"subject":[],"published":{"date-parts":[[2023,12,5]]}}}