{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T06:31:06Z","timestamp":1786602666247,"version":"build-2736575974"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T00:00:00Z","timestamp":1777593600000},"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":[[2026,5]]},"DOI":"10.1109\/icde65706.2026.00368","type":"proceedings-article","created":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T19:12:20Z","timestamp":1786561940000},"page":"4340-4341","source":"Crossref","is-referenced-by-count":0,"title":["GNN Explainers 2.0: A Paradigm for User-Oriented, Data-Guided Explanations"],"prefix":"10.1109","author":[{"given":"Arijit","family":"Khan","sequence":"first","affiliation":[{"name":"Bowling Green State University","place":["Bowling Green, OH, USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","article-title":"GNN Explainers 2.0: Usercentric and Data Driven Insights","author":"Khan","year":"2026","journal-title":"WSDM"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3639295"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3711896.3736960"},{"key":"ref4","article-title":"SliceGX: Layer-wise GNN Explanation with Model-slicing","volume-title":"The Web Conference","author":"Yu","year":"2026"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00259"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE65706.2026.00064"},{"key":"ref7","article-title":"ATEX-CF: AttackInformed Counterfactual Explanations for Graph Neural Networks","author":"Zhang","year":"2026","journal-title":"ICLR"},{"key":"ref8","article-title":"NAEx: A Plug-and-Play Framework for Explaining Network Alignment","volume":"04731","author":"Saxena","year":"2025","journal-title":"CoRR"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.2978386"},{"key":"ref10","first-page":"9240","article-title":"GNNExplainer: Generating Explanations for Graph Neural Networks","author":"Ying","year":"2019","journal-title":"NeurIPS"},{"key":"ref11","article-title":"Parameterized Explainer for Graph Neural Network","author":"Luo","year":"2020","journal-title":"NeurIPS"},{"key":"ref12","first-page":"12241","article-title":"On Explainability of Graph Neural Networks via Subgraph Explorations","author":"Yuan","year":"2021","journal-title":"ICML"},{"key":"ref13","article-title":"PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks","author":"Vu","year":"2020","journal-title":"NeurIPS"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3187455"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3539597.3570376"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3511948"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3115452"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA60987.2023.10302600"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3204236"},{"issue":"2","key":"ref20","first-page":"35","article-title":"A Survey on Explainability of Graph Neural Networks","volume":"47","author":"Kakkad","year":"2023","journal-title":"IEEE Data Eng. Bull."}],"event":{"name":"2026 IEEE 42nd International Conference on Data Engineering (ICDE)","location":"Montreal, QC, Canada","start":{"date-parts":[[2026,5,4]]},"end":{"date-parts":[[2026,5,8]]}},"container-title":["2026 IEEE 42nd International Conference on Data Engineering (ICDE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11629178\/11629165\/11629521.pdf?arnumber=11629521","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T06:15:28Z","timestamp":1786601728000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11629521\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,5]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/icde65706.2026.00368","relation":{},"subject":[],"published":{"date-parts":[[2026,5]]}}}