{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T06:14:49Z","timestamp":1774419289866,"version":"3.50.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,4,6]],"date-time":"2025-04-06T00:00:00Z","timestamp":1743897600000},"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":[[2025,4,6]]},"DOI":"10.1109\/icassp49660.2025.10888759","type":"proceedings-article","created":{"date-parts":[[2025,3,12]],"date-time":"2025-03-12T17:15:02Z","timestamp":1741799702000},"page":"1-5","source":"Crossref","is-referenced-by-count":0,"title":["When Sparse Graph Representation Learning Falls into Domain Shift: Feature Augmentation for Cross-Domain Graph Meta-Learning"],"prefix":"10.1109","author":[{"given":"Simin","family":"Niu","sequence":"first","affiliation":[{"name":"Renmin University of China,School of Information,Beijing,China"}]},{"given":"Xun","family":"Liang","sequence":"additional","affiliation":[{"name":"Renmin University of China,School of Information,Beijing,China"}]},{"given":"Sensen","family":"Zhang","sequence":"additional","affiliation":[{"name":"Renmin University of China,School of Information,Beijing,China"}]},{"given":"Zhiyu","family":"Li","sequence":"additional","affiliation":[{"name":"Institute for Advanced Algorithms Research,Shanghai,China"}]},{"given":"Xuan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Peking University,Guanghua School of Management,Beijing,China"}]},{"given":"Wu","family":"Bo","sequence":"additional","affiliation":[{"name":"Central South University,Xiangjiang Laboratory,Hunan,China"}]},{"given":"Hanyu","family":"Wang","sequence":"additional","affiliation":[{"name":"Renmin University of China,School of Information,Beijing,China"}]},{"given":"Shichao","family":"Song","sequence":"additional","affiliation":[{"name":"Renmin University of China,School of Information,Beijing,China"}]},{"given":"Mengwei","family":"Wang","sequence":"additional","affiliation":[{"name":"Renmin University of China,School of Information,Beijing,China"}]},{"given":"Jiawei","family":"Yang","sequence":"additional","affiliation":[{"name":"Renmin University of China,School of Information,Beijing,China"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Semi-supervised classification with graph convolutional networks","author":"Kipf","year":"2017","journal-title":"ICLR"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2022\/789"},{"key":"ref4","article-title":"Meta-learning with graph neural networks: Methods and applications","volume":"abs\/2103.00137","author":"Mandal","year":"2021","journal-title":"CoRR"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCASIT53235.2021.9633512"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411922"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539265"},{"key":"ref8","article-title":"Graph meta learning via local subgraphs","author":"Huang","year":"2020","journal-title":"NeurIPS"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3477495.3531978"},{"key":"ref10","first-page":"5149","article-title":"Meta-learning in neural networks: A survey","volume":"44","author":"Hospedales","year":"2022","journal-title":"TPAMI"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-017-0089-0"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20642"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539431"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58517-4_23"},{"key":"ref15","first-page":"3915","article-title":"Feature-critic networks for heterogeneous domain generalization","volume":"97","author":"Li","year":"2021","journal-title":"ICML"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3357925"},{"key":"ref18","article-title":"Cross-domain few-shot classification via learned feature-wise transformation","author":"Tseng","year":"2023","journal-title":"ICLR"},{"key":"ref19","article-title":"Auto-encoding variational bayes","author":"Kingma","year":"2014","journal-title":"ICLR"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2022.3177455"},{"key":"ref21","article-title":"What graph neural networks cannot learn: Depth vs width","author":"Loukas","year":"2020","journal-title":"ICLR"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098036"},{"key":"ref24","first-page":"4077","article-title":"Prototypical networks for few-shot learning","author":"Snell","year":"2017","journal-title":"NeurIPS"},{"key":"ref25","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"Finn","year":"2017","journal-title":"ICML"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3357384.3358106"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411923"},{"key":"ref28","first-page":"3630","article-title":"Matching networks for one shot learning","author":"Vinyals","year":"2016","journal-title":"NeurIPS"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00131"}],"event":{"name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Hyderabad, India","start":{"date-parts":[[2025,4,6]]},"end":{"date-parts":[[2025,4,11]]}},"container-title":["ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10887540\/10887541\/10888759.pdf?arnumber=10888759","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T05:22:06Z","timestamp":1774416126000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10888759\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4,6]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/icassp49660.2025.10888759","relation":{},"subject":[],"published":{"date-parts":[[2025,4,6]]}}}