{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,5]],"date-time":"2026-03-05T07:30:52Z","timestamp":1772695852048,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No.62225202, No.62302023, No.62472018"],"award-info":[{"award-number":["No.62225202, No.62302023, No.62472018"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,10]]},"DOI":"10.1145\/3746252.3761590","type":"proceedings-article","created":{"date-parts":[[2025,11,8]],"date-time":"2025-11-08T00:29:28Z","timestamp":1762561768000},"page":"6927-6929","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Frontiers in Graph Machine Learning for the Large Model Era"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1930-3848","authenticated-orcid":false,"given":"Qingyun","family":"Sun","sequence":"first","affiliation":[{"name":"Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2451-843X","authenticated-orcid":false,"given":"Ziwei","family":"Zhang","sequence":"additional","affiliation":[{"name":"Beihang University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4643-8126","authenticated-orcid":false,"given":"Xingcheng","family":"Fu","sequence":"additional","affiliation":[{"name":"Guangxi Normal University, Guilin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7818-6090","authenticated-orcid":false,"given":"Yangqiu","family":"Song","sequence":"additional","affiliation":[{"name":"The Hong Kong University of Science and Technology, Hong Kong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5152-0055","authenticated-orcid":false,"given":"Jianxin","family":"Li","sequence":"additional","affiliation":[{"name":"Beihang Univerisity, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3491-5968","authenticated-orcid":false,"given":"Philip S.","family":"Yu","sequence":"additional","affiliation":[{"name":"University of Illinois at Chicago, Chicago, USA"}]}],"member":"320","published-online":{"date-parts":[[2025,11,10]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Rishi Bommasani Drew A Hudson Ehsan Adeli Russ Altman Simran Arora Sydney von Arx Michael S Bernstein Jeannette Bohg Antoine Bosselut Emma Brunskill et al. 2021. On the opportunities and risks of foundation models. arXiv preprint arXiv:2108.07258 (2021)."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3641289"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313488"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-23303-9"},{"key":"e_1_3_2_1_5_1","unstructured":"Daya Guo Dejian Yang Haowei Zhang Junxiao Song Ruoyu Zhang Runxin Xu Qihao Zhu Shirong Ma Peiyi Wang Xiao Bi et al. 2025. DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. arXiv preprint arXiv:2501.12948 (2025)."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v39i11.33279"},{"key":"e_1_3_2_1_7_1","volume-title":"Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence. 2739--2745","author":"Lin Xuan","year":"2021","unstructured":"Xuan Lin, Zhe Quan, Zhi-Jie Wang, Tengfei Ma, and Xiangxiang Zeng. 2021. KGNN: knowledge graph neural network for drug-drug interaction prediction. In Proceedings of the Twenty-Ninth International Conference on International Joint Conferences on Artificial Intelligence. 2739--2745."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583386"},{"key":"e_1_3_2_1_9_1","volume-title":"Position: Graph Foundation Models Are Already Here. In Forty-first International Conference on Machine Learning.","author":"Mao Haitao","year":"2024","unstructured":"Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, and Jiliang Tang. 2024. Position: Graph Foundation Models Are Already Here. In Forty-first International Conference on Machine Learning."},{"key":"e_1_3_2_1_10_1","volume-title":"Graph foundation model. Frontiers of Computer Science 18, 6","author":"Shi Chuan","year":"2024","unstructured":"Chuan Shi, Junze Chen, Jiawei Liu, and Cheng Yang. 2024. Graph foundation model. Frontiers of Computer Science 18, 6 (2024)."},{"key":"e_1_3_2_1_11_1","volume-title":"Lecturestyle Tutorial: Towards Graph Foundation Models. In Companion Proceedings of the ACM on Web Conference","author":"Shi Chuan","year":"2024","unstructured":"Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, and Philip S Yu. 2024. Lecturestyle Tutorial: Towards Graph Foundation Models. In Companion Proceedings of the ACM on Web Conference 2024. 1264--1267."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599256"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.3301346"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645423"},{"key":"e_1_3_2_1_15_1","volume-title":"BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees. In Fortysecond International Conference on Machine Learning.","author":"Yuan Haonan","unstructured":"Haonan Yuan, Qingyun Sun, Junhua Shi, Xingcheng Fu, Bryan Hooi, Jianxin Li, and Philip S. Yu. 2025. How Much Can Transfer? BRIDGE: Bounded Multi-Domain Graph Foundation Model with Generalization Guarantees. In Fortysecond International Conference on Machine Learning."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671913"},{"key":"e_1_3_2_1_17_1","volume-title":"ProG: A Graph Prompt Learning Benchmark. In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track.","author":"Zi Chenyi","year":"2024","unstructured":"Chenyi Zi, Haihong Zhao, Xiangguo Sun, Yiqing Lin, Hong Cheng, and Jia Li. 2024. ProG: A Graph Prompt Learning Benchmark. In The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track."}],"event":{"name":"CIKM '25: The 34th ACM International Conference on Information and Knowledge Management","location":"Seoul Republic of Korea","acronym":"CIKM '25","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the 34th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3746252.3761590","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T01:47:19Z","timestamp":1765504039000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3746252.3761590"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,10]]},"references-count":17,"alternative-id":["10.1145\/3746252.3761590","10.1145\/3746252"],"URL":"https:\/\/doi.org\/10.1145\/3746252.3761590","relation":{},"subject":[],"published":{"date-parts":[[2025,11,10]]},"assertion":[{"value":"2025-11-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}