{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T10:35:03Z","timestamp":1762166103836,"version":"build-2065373602"},"publisher-location":"Singapore","reference-count":15,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819510207"},{"type":"electronic","value":"9789819510214"}],"license":[{"start":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T00:00:00Z","timestamp":1762214400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T00:00:00Z","timestamp":1762214400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-981-95-1021-4_27","type":"book-chapter","created":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T10:28:47Z","timestamp":1762165727000},"page":"367-376","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Identifying Potential Anomalous Operations in\u00a0Graph Neural Network Training"],"prefix":"10.1007","author":[{"given":"Zhibo","family":"Xuan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hailong","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"You","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongzhi","family":"Luan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yi","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Depei","family":"Qian","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,11,4]]},"reference":[{"key":"27_CR1","unstructured":"Cen, Y., et\u00a0al.: Cogdl: an extensive toolkit for deep learning on graphs, pp. 1\u201311. arXiv preprint arXiv:2103.00959 (2021)"},{"key":"27_CR2","unstructured":"Fey, M., Lenssen, J.E.: Fast graph representation learning with pytorch geometric. arXiv preprint arXiv:1903.02428 (2019)"},{"key":"27_CR3","doi-asserted-by":"crossref","unstructured":"Gao, C., Wang, X., He, X., Li, Y.: Graph neural networks for recommender system. In: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining, pp. 1623\u20131625 (2022)","DOI":"10.1145\/3488560.3501396"},{"issue":"4","key":"27_CR4","doi-asserted-by":"publisher","first-page":"1705","DOI":"10.1109\/TNNLS.2020.3027736","volume":"34","author":"Z He","year":"2023","unstructured":"He, Z., et al.: A spatiotemporal deep learning approach for unsupervised anomaly detection in cloud systems. IEEE Trans. Neural Netw. Learn. Syst. 34(4), 1705\u20131719 (2023). https:\/\/doi.org\/10.1109\/TNNLS.2020.3027736","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"27_CR5","unstructured":"Joshi, C.K., Liu, F., Xun, X., Lin, J., Foo, C.S.: On representation knowledge distillation for graph neural networks. IEEE Trans. Neural Netw. Learn. Syst. (2022)"},{"key":"27_CR6","unstructured":"Kingma, D.P., Welling, M.: Auto-encoding variational bayes (2013). CoRR arxiv:1312.6114. https:\/\/api.semanticscholar.org\/CorpusID:216078090"},{"key":"27_CR7","unstructured":"Namata, G., London, B., Getoor, L., Huang, B., Edu, U.: Query-driven active surveying for collective classification. In: 10th International Workshop on Mining and Learning with Graphs, vol.\u00a08, p.\u00a01 (2012)"},{"key":"27_CR8","unstructured":"OctoML: Automate model deployment at peak performance anywhere (2024). https:\/\/octoml.ai\/"},{"key":"27_CR9","unstructured":"PyTorch: Pytorch profiler (2024). https:\/\/pytorch.org\/tutorials\/recipes\/recipes\/profiler_recipe.html"},{"key":"27_CR10","unstructured":"Shchur, O., Mumme, M., Bojchevski, A., G\u00fcnnemann, S.: Pitfalls of graph neural network evaluation. arXiv preprint arXiv:1811.05868 (2018)"},{"key":"27_CR11","unstructured":"Wang, M., et al.: Deep graph library: a graph-centric, highly-performant package for graph neural networks. arXiv preprint arXiv:1909.01315 (2019)"},{"issue":"1","key":"27_CR12","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/TNNLS.2020.2978386","volume":"32","author":"Z Wu","year":"2020","unstructured":"Wu, Z., Pan, S., Chen, F., Long, G., Zhang, C., Philip, S.Y.: A comprehensive survey on graph neural networks. IEEE Trans. Neural Netw. Learn. Syst. 32(1), 4\u201324 (2020)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"27_CR13","unstructured":"Xu, K., Li, C., Tian, Y., Sonobe, T., Kawarabayashi, K.I., Jegelka, S.: Representation learning on graphs with jumping knowledge networks. In: International Conference on Machine Learning, pp. 5453\u20135462. PMLR (2018)"},{"issue":"1","key":"27_CR14","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1109\/LCA.2020.2970395","volume":"19","author":"M Yan","year":"2020","unstructured":"Yan, M., et al.: Characterizing and understanding GCNS on GPU. IEEE Comput. Archit. Lett. 19(1), 22\u201325 (2020)","journal-title":"IEEE Comput. Archit. Lett."},{"key":"27_CR15","doi-asserted-by":"crossref","unstructured":"Zhu, Z.: A survey of GNN in bioinformation data (2022)","DOI":"10.20944\/preprints202209.0226.v1"}],"container-title":["Lecture Notes in Computer Science","Advanced Parallel Processing Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-1021-4_27","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,3]],"date-time":"2025-11-03T10:28:49Z","timestamp":1762165729000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-1021-4_27"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,4]]},"ISBN":["9789819510207","9789819510214"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-1021-4_27","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025,11,4]]},"assertion":[{"value":"4 November 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"APPT","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Symposium on Advanced Parallel Processing Technologies","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Athens","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Greece","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"appt2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.appt-conference.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}