{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T10:22:48Z","timestamp":1771064568710,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":55,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T00:00:00Z","timestamp":1730073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Natural Science Foundation of China","award":["62372408"],"award-info":[{"award-number":["62372408"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,28]]},"DOI":"10.1145\/3664647.3681639","type":"proceedings-article","created":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T06:59:49Z","timestamp":1729925989000},"page":"9505-9514","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Deeply Fusing Semantics and Interactions for Item Representation Learning via Topology-driven Pre-training"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9139-0109","authenticated-orcid":false,"given":"Shiqin","family":"Liu","sequence":"first","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8179-7503","authenticated-orcid":false,"given":"Chaozhuo","family":"Li","sequence":"additional","affiliation":[{"name":"Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2111-7385","authenticated-orcid":false,"given":"Xi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory of Trustworthy Distributed Computing and Service (MoE), Beijing University of Posts and Telecommunications, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9167-3897","authenticated-orcid":false,"given":"Minjun","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8370-5011","authenticated-orcid":false,"given":"Yuanbo","family":"Xu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Jilin University, Changchun, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1097-2044","authenticated-orcid":false,"given":"Jiajun","family":"Bu","sequence":"additional","affiliation":[{"name":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,10,28]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5330"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2959100.2959190"},{"key":"e_1_3_2_1_3_1","volume-title":"Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805","author":"Devlin Jacob","year":"2018","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219885"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557314"},{"key":"e_1_3_2_1_6_1","volume-title":"Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. arXiv preprint arXiv:2004.10964","author":"Gururangan Suchin","year":"2020","unstructured":"Suchin Gururangan, Ana Marasovi\u0107, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A Smith. 2020. Don't Stop Pretraining: Adapt Language Models to Domains and Tasks. arXiv preprint arXiv:2004.10964 (2020)."},{"key":"e_1_3_2_1_7_1","unstructured":"Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. In Advances in neural information processing systems. 1024--1034."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911489"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2505665"},{"key":"e_1_3_2_1_14_1","volume-title":"Going Deeper into Permutation-Sensitive Graph Neural Networks. arXiv preprint arXiv:2205.14368","author":"Huang Zhongyu","year":"2022","unstructured":"Zhongyu Huang, Yingheng Wang, Chaozhuo Li, and Huiguang He. 2022. Going Deeper into Permutation-Sensitive Graph Neural Networks. arXiv preprint arXiv:2205.14368 (2022)."},{"key":"e_1_3_2_1_15_1","volume-title":"Bidirectional LSTM-CRF models for sequence tagging. arXiv preprint arXiv:1508.01991","author":"Huang Zhiheng","year":"2015","unstructured":"Zhiheng Huang, Wei Xu, and Kai Yu. 2015. Bidirectional LSTM-CRF models for sequence tagging. arXiv preprint arXiv:1508.01991 (2015)."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/3580305.3599376"},{"key":"e_1_3_2_1_17_1","volume-title":"Dense Passage Retrieval for Open-Domain Question Answering. arXiv preprint arXiv:2004.04906","author":"Karpukhin Vladimir","year":"2020","unstructured":"Vladimir Karpukhin, Barlas Ouguz, Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020. Dense Passage Retrieval for Open-Domain Question Answering. arXiv preprint arXiv:2004.04906 (2020)."},{"key":"e_1_3_2_1_18_1","volume-title":"Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907","author":"Kipf Thomas N","year":"2016","unstructured":"Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3347003"},{"key":"e_1_3_2_1_21_1","volume-title":"AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. arXiv preprint arXiv:2104.12080","author":"Li Chaozhuo","year":"2021","unstructured":"Chaozhuo Li, Bochen Pang, Yuming Liu, Hao Sun, Zheng Liu, Xing Xie, Tianqi Yang, Yanling Cui, Liangjie Zhang, and Qi Zhang. 2021. AdsGNN: Behavior-Graph Augmented Relevance Modeling in Sponsored Search. arXiv preprint arXiv:2104.12080 (2021)."},{"key":"e_1_3_2_1_22_1","unstructured":"Rui Li Jianan Zhao Chaozhuo Li Di He Yiqi Wang Yuming Liu Hao Sun Senzhang Wang Weiwei Deng Yanming Shen et al. 2022. HousE: Knowledge Graph Embedding with Householder Parameterization. arXiv preprint arXiv:2202.07919 (2022)."},{"key":"e_1_3_2_1_23_1","volume-title":"prompt, and predict: A systematic survey of prompting methods in natural language processing. arXiv preprint arXiv:2107.13586","author":"Liu Pengfei","year":"2021","unstructured":"Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2021. Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing. arXiv preprint arXiv:2107.13586 (2021)."},{"key":"e_1_3_2_1_24_1","volume-title":"Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692","author":"Liu Yinhan","year":"2019","unstructured":"Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019. Roberta: A robustly optimized bert pretraining approach. arXiv preprint arXiv:1907.11692 (2019)."},{"key":"e_1_3_2_1_25_1","volume-title":"Fine-grained Fact Verification with Kernel Graph Attention Network. arXiv preprint arXiv:1910.09796","author":"Liu Zhenghao","year":"2019","unstructured":"Zhenghao Liu, Chenyan Xiong, Maosong Sun, and Zhiyuan Liu. 2019. Fine-grained Fact Verification with Kernel Graph Attention Network. arXiv preprint arXiv:1910.09796 (2019)."},{"key":"e_1_3_2_1_26_1","volume-title":"dense, and attentional representations for text retrieval. arXiv preprint arXiv:2005.00181","author":"Luan Yi","year":"2020","unstructured":"Yi Luan, Jacob Eisenstein, Kristina Toutanova, and Michael Collins. 2020. Sparse, dense, and attentional representations for text retrieval. arXiv preprint arXiv:2005.00181 (2020)."},{"key":"e_1_3_2_1_27_1","volume-title":"RecoBERT: A Catalog Language Model for Text-Based Recommendations. arXiv preprint arXiv:2009.13292","author":"Malkiel Itzik","year":"2020","unstructured":"Itzik Malkiel, Oren Barkan, Avi Caciularu, Noam Razin, Ori Katz, and Noam Koenigstein. 2020. RecoBERT: A Catalog Language Model for Text-Based Recommendations. arXiv preprint arXiv:2009.13292 (2020)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539128"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.14569\/IJACSA.2020.0110975"},{"key":"e_1_3_2_1_30_1","volume-title":"BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:1205.2618","author":"Rendle Steffen","year":"2012","unstructured":"Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2012. BPR: Bayesian personalized ranking from implicit feedback. arXiv preprint arXiv:1205.2618 (2012)."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/371920.372071"},{"key":"e_1_3_2_1_32_1","volume-title":"Graph Convolutional Matrix Completion. CoRR","author":"van den Berg Rianne","year":"2017","unstructured":"Rianne van den Berg, Thomas N. Kipf, and Max Welling. 2017. Graph Convolutional Matrix Completion. CoRR, Vol. abs\/1706.02263 (2017). showeprint[arXiv]1706.02263 http:\/\/arxiv.org\/abs\/1706.02263"},{"key":"e_1_3_2_1_33_1","volume-title":"International Conference on Learning Representations (ICLR)","author":"Velivckovi\u0107 Petar","year":"2018","unstructured":"Petar Velivckovi\u0107, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2018. Graph attention networks. International Conference on Learning Representations (ICLR) (2018)."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2783258.2783273"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219869"},{"key":"e_1_3_2_1_36_1","volume-title":"A comprehensive survey and experimental comparison of graph-based approximate nearest neighbor search. arXiv preprint arXiv:2101.12631","author":"Wang Mengzhao","year":"2021","unstructured":"Mengzhao Wang, Xiaoliang Xu, Qiang Yue, and Yuxiang Wang. 2021. A comprehensive survey and experimental comparison of graph-based approximate nearest neighbor search. arXiv preprint arXiv:2101.12631 (2021)."},{"key":"e_1_3_2_1_37_1","volume-title":"Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015","author":"Wang Suhang","year":"2015","unstructured":"Suhang Wang, Jiliang Tang, Yilin Wang, and Huan Liu. 2015. Exploring Implicit Hierarchical Structures for Recommender Systems. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25--31, 2015, Qiang Yang and Michael J. Wooldridge (Eds.). AAAI Press, 1813--1819. http:\/\/ijcai.org\/Abstract\/15\/258"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_1_39_1","volume-title":"Test-Time Training for Graph Neural Networks. arXiv preprint arXiv:2210.08813","author":"Wang Yiqi","year":"2022","unstructured":"Yiqi Wang, Chaozhuo Li, Wei Jin, Rui Li, Jianan Zhao, Jiliang Tang, and Xing Xie. 2022. Test-Time Training for Graph Neural Networks. arXiv preprint arXiv:2210.08813 (2022)."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1137\/1.9781611977172.61"},{"key":"e_1_3_2_1_41_1","volume-title":"An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. arXiv preprint arXiv:2112.07191","author":"Wang Yiqi","year":"2021","unstructured":"Yiqi Wang, Chaozhuo Li, Zheng Liu, Mingzheng Li, Jiliang Tang, Xing Xie, Lei Chen, and Philip S Yu. 2021. An Adaptive Graph Pre-training Framework for Localized Collaborative Filtering. arXiv preprint arXiv:2112.07191 (2021)."},{"key":"e_1_3_2_1_42_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371854"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3219890"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2022.3200921"},{"key":"e_1_3_2_1_45_1","volume-title":"E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce. arXiv preprint arXiv:2009.02835","author":"Zhang Denghui","year":"2020","unstructured":"Denghui Zhang, Zixuan Yuan, Yanchi Liu, Fuzhen Zhuang, and Hui Xiong. 2020. E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce. arXiv preprint arXiv:2009.02835 (2020)."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939673"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3589334.3645614"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1145\/2488388.2488520"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16600"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2569096"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240343"},{"key":"e_1_3_2_1_52_1","volume-title":"Reasoning over semantic-level graph for fact checking. arXiv preprint arXiv:1909.03745","author":"Zhong Wanjun","year":"2019","unstructured":"Wanjun Zhong, Jingjing Xu, Duyu Tang, Zenan Xu, Nan Duan, Ming Zhou, Jiahai Wang, and Jian Yin. 2019. Reasoning over semantic-level graph for fact checking. arXiv preprint arXiv:1909.03745 (2019)."},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.01.001"},{"key":"e_1_3_2_1_54_1","volume-title":"GEAR: Graph-based evidence aggregating and reasoning for fact verification. arXiv preprint arXiv:1908.01843","author":"Zhou Jie","year":"2019","unstructured":"Jie Zhou, Xu Han, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, and Maosong Sun. 2019. GEAR: Graph-based evidence aggregating and reasoning for fact verification. arXiv preprint arXiv:1908.01843 (2019)."},{"key":"e_1_3_2_1_55_1","volume-title":"TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search. arXiv preprint arXiv:2101.06323","author":"Zhu Jason","year":"2021","unstructured":"Jason Zhu, Yanling Cui, Yuming Liu, Hao Sun, Xue Li, Markus Pelger, Liangjie Zhang, Tianqi Yan, Ruofei Zhang, and Huasha Zhao. 2021. TextGNN: Improving Text Encoder via Graph Neural Network in Sponsored Search. arXiv preprint arXiv:2101.06323 (2021)."}],"event":{"name":"MM '24: The 32nd ACM International Conference on Multimedia","location":"Melbourne VIC Australia","acronym":"MM '24","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 32nd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3681639","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3664647.3681639","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:17:49Z","timestamp":1750295869000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3681639"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,28]]},"references-count":55,"alternative-id":["10.1145\/3664647.3681639","10.1145\/3664647"],"URL":"https:\/\/doi.org\/10.1145\/3664647.3681639","relation":{},"subject":[],"published":{"date-parts":[[2024,10,28]]},"assertion":[{"value":"2024-10-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}