{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T04:18:58Z","timestamp":1777954738436,"version":"3.51.4"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"6","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62321003"],"award-info":[{"award-number":["62321003"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62502151"],"award-info":[{"award-number":["62502151"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["U25A20422"],"award-info":[{"award-number":["U25A20422"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62441234"],"award-info":[{"award-number":["62441234"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62502155"],"award-info":[{"award-number":["62502155"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62541202"],"award-info":[{"award-number":["62541202"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Knowl. Data Eng."],"published-print":{"date-parts":[[2026,6]]},"DOI":"10.1109\/tkde.2026.3678660","type":"journal-article","created":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T20:08:27Z","timestamp":1774901307000},"page":"3849-3862","source":"Crossref","is-referenced-by-count":0,"title":["Polarity-Aware and Adaptive Sparse Aggregation for Implicit Heterophilic Graph Classification"],"prefix":"10.1109","volume":"38","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0086-6301","authenticated-orcid":false,"given":"Haotian","family":"Wang","sequence":"first","affiliation":[{"name":"College of Computer Science and Electronic Engineering, National Supercomputing Center in Changsha, Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6956-9260","authenticated-orcid":false,"given":"Yan","family":"Ding","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, National Supercomputing Center in Changsha, Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2681-7898","authenticated-orcid":false,"given":"Wangdong","family":"Yang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, National Supercomputing Center in Changsha, Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9081-8153","authenticated-orcid":false,"given":"Zhuo","family":"Tang","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, National Supercomputing Center in Changsha, Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2372-6715","authenticated-orcid":false,"given":"Chubo","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, National Supercomputing Center in Changsha, Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2635-7716","authenticated-orcid":false,"given":"Kenli","family":"Li","sequence":"additional","affiliation":[{"name":"College of Computer Science and Electronic Engineering, National Supercomputing Center in Changsha, Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3597503.3639168"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671877"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3280859"},{"key":"ref4","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2016"},{"key":"ref5","article-title":"Graph attention networks","author":"Veli\u010dkovi\u0107","year":"2017"},{"key":"ref6","first-page":"1025","article-title":"Inductive representation learning on large graphs","volume-title":"Proc. 31st Int. Conf. Neural Inf. Process. Syst.","author":"Hamilton"},{"key":"ref7","article-title":"Measuring and improving the use of graph information in graph neural networks","author":"Hou","journal-title":"arXiv:2206.13170"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2023.10.052"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i1.32045"},{"key":"ref10","first-page":"179","article-title":"Detect hidden dependency to untangle commits","volume-title":"Proc. 39th IEEE\/ACM Int. Conf. Autom. Softw. Eng.","author":"Fan"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3441766"},{"key":"ref12","first-page":"50489","article-title":"Understanding heterophily for graph neural networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Wang"},{"key":"ref13","first-page":"7793","article-title":"Beyond homophily in graph neural networks: Current limitations and effective designs","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Zhu"},{"key":"ref14","first-page":"10654","article-title":"Universal graph convolutional networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Jin"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3711896.3736936"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512187"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2024.3459932"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.52202\/075280-1752"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3584945"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3664647.3681204"},{"key":"ref21","first-page":"60197","article-title":"Two heads are better than one: Boosting graph sparse training via semantic and topological awareness","volume-title":"Proc. 41st Int. Conf. Mach. Learn.","author":"Zhang"},{"key":"ref22","first-page":"41577","article-title":"Probabilistic weather forecasting with hierarchical graph neural networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Oskarsson"},{"key":"ref23","article-title":"Adaptive universal generalized PageRank graph neural network","author":"Chien","year":"2020"},{"key":"ref24","first-page":"1362","article-title":"Revisiting heterophily for graph neural networks","volume-title":"Proc. 36th Int. Conf. Neural Inf. Process. Syst.","author":"Luan"},{"key":"ref25","first-page":"20887","article-title":"Large scale learning on non-homophilous graphs: New benchmarks and strong simple methods","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lim"},{"issue":"4","key":"ref26","first-page":"501","article-title":"GBGNN: Gradient boosted graph neural networks","volume":"20","author":"Jang","year":"2024","journal-title":"J. Inf. Process. Syst."},{"key":"ref27","first-page":"3294","article-title":"GNNAutoScale: Scalable and expressive graph neural networks via historical embeddings","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Fey"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.02461"},{"key":"ref29","article-title":"DropEdge: Towards deep graph convolutional networks on node classification","author":"Rong","year":"2019"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2025.3586369"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2023.3282049"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371845"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2024.3481015"},{"key":"ref34","article-title":"How powerful are graph neural networks?","author":"Xu","year":"2018"}],"container-title":["IEEE Transactions on Knowledge and Data Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/69\/11503382\/11457745.pdf?arnumber=11457745","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T19:37:45Z","timestamp":1777923465000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11457745\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6]]},"references-count":34,"journal-issue":{"issue":"6"},"URL":"https:\/\/doi.org\/10.1109\/tkde.2026.3678660","relation":{},"ISSN":["1041-4347","1558-2191","2326-3865"],"issn-type":[{"value":"1041-4347","type":"print"},{"value":"1558-2191","type":"electronic"},{"value":"2326-3865","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6]]}}}