{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,30]],"date-time":"2025-08-30T16:25:33Z","timestamp":1756571133707,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":62,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,4,30]],"date-time":"2023-04-30T00:00:00Z","timestamp":1682812800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,4,30]]},"DOI":"10.1145\/3543507.3583219","type":"proceedings-article","created":{"date-parts":[[2023,4,26]],"date-time":"2023-04-26T23:30:25Z","timestamp":1682551825000},"page":"3164-3172","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":13,"title":["Bipartite Graph Convolutional Hashing for Effective and Efficient Top-N Search in Hamming Space"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5741-2047","authenticated-orcid":false,"given":"Yankai","family":"Chen","sequence":"first","affiliation":[{"name":"The Chinese University of Hong Kong, Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5047-8593","authenticated-orcid":false,"given":"Yixiang","family":"Fang","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Shenzhen, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4185-8663","authenticated-orcid":false,"given":"Yifei","family":"Zhang","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Hong Kong"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8106-6447","authenticated-orcid":false,"given":"Irwin","family":"King","sequence":"additional","affiliation":[{"name":"The Chinese University of Hong Kong, Hong Kong"}]}],"member":"320","published-online":{"date-parts":[[2023,4,30]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Pushing the limit of bert quantization. arXiv","author":"Bai Haoli","year":"2020","unstructured":"Haoli Bai, Wei Zhang, Lu Hou, Lifeng Shang, Jing Jin, Xin Jiang, Qun Liu, Michael Lyu, and Irwin King. 2020. Pushing the limit of bert quantization. arXiv (2020)."},{"key":"e_1_3_2_2_2_1","volume-title":"Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv","author":"Bengio Yoshua","year":"2013","unstructured":"Yoshua Bengio, Nicholas L\u00e9onard, and Aaron Courville. 2013. Estimating or propagating gradients through stochastic neurons for conditional computation. arXiv (2013)."},{"key":"e_1_3_2_2_3_1","volume-title":"Spectral networks and locally connected networks on graphs. arXiv","author":"Bruna Joan","year":"2013","unstructured":"Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun. 2013. Spectral networks and locally connected networks on graphs. arXiv (2013)."},{"key":"e_1_3_2_2_4_1","volume-title":"Hashnet: Deep learning to hash by continuation. In ICCV. 5608\u20135617.","author":"Cao Zhangjie","year":"2017","unstructured":"Zhangjie Cao, Mingsheng Long, Jianmin Wang, and Philip\u00a0S Yu. 2017. Hashnet: Deep learning to hash by continuation. In ICCV. 5608\u20135617."},{"key":"e_1_3_2_2_5_1","unstructured":"Minyu Chen Guoqiang Li Chen Ma Jingyang Li and Hongfei Fu. 2022. Repo4QA: Answering Coding Questions via Dense Retrieval on GitHub Repositories. In COLING."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"crossref","unstructured":"Yankai Chen Huifeng Guo Yingxue Zhang Chen Ma Ruiming Tang Jingjie Li and Irwin King. 2022. Learning binarized graph representations with multi-faceted quantization reinforcement for top-k recommendation. In SIGKDD.","DOI":"10.1145\/3534678.3539452"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"crossref","unstructured":"Yankai Chen Menglin Yang Yingxue Zhang Mengchen Zhao Ziqiao Meng Jianye Hao and Irwin King. 2022. Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation. In WSDM. 94\u2013102.","DOI":"10.1145\/3488560.3498419"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"crossref","unstructured":"Yankai Chen Yaming Yang Yujing Wang Jing Bai Xiangchen Song and Irwin King. 2022. Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation. In ICDE.","DOI":"10.1109\/ICDE53745.2022.00027"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"crossref","unstructured":"Yankai Chen Yifei Zhang Huifeng Guo Ruiming Tang and Irwin King. 2022. An Effective Post-training Embedding Binarization Approach for Fast Online Top-K Passage Matching. In AACL-IJCNLP. 102\u2013108.","DOI":"10.18653\/v1\/2022.aacl-short.14"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"crossref","unstructured":"Zhiyong Cheng Ying Ding Lei Zhu and Mohan Kankanhalli. 2018. Aspect-aware latent factor model: Rating prediction with ratings and reviews. In WWW.","DOI":"10.1145\/3178876.3186145"},{"key":"e_1_3_2_2_11_1","unstructured":"Sajad Darabi Mouloud Belbahri Matthieu Courbariaux and Vahid\u00a0Partovi Nia. 2018. Bnn+: Improved binary network training. (2018)."},{"key":"e_1_3_2_2_12_1","volume-title":"CNNs on graphs with fast localized spectral filtering. NeurIPS 29","author":"Defferrard Micha\u00ebl","year":"2016","unstructured":"Micha\u00ebl Defferrard, Xavier Bresson, and Pierre Vandergheynst. 2016. CNNs on graphs with fast localized spectral filtering. NeurIPS 29 (2016)."},{"key":"e_1_3_2_2_13_1","volume-title":"Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. In EMNLP. 2439\u20132449.","author":"Gao Yifan","year":"2020","unstructured":"Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq Joty, Steven\u00a0CH Hoi, Caiming Xiong, Irwin King, and Michael Lyu. 2020. Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. In EMNLP. 2439\u20132449."},{"key":"e_1_3_2_2_14_1","unstructured":"Aristides Gionis Piotr Indyk Rajeev Motwani 1999. Similarity search in high dimensions via hashing. In PVLDB Vol.\u00a099. 518\u2013529."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"crossref","unstructured":"Ruihao Gong Xianglong Liu Shenghu Jiang Tianxiang Li Peng Hu Jiazhen Lin Fengwei Yu and Junjie Yan. 2019. Differentiable soft quantization: Bridging full-precision and low-bit neural networks. In ICCV. 4852\u20134861.","DOI":"10.1109\/ICCV.2019.00495"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"crossref","unstructured":"Aditya Grover and Jure Leskovec. 2016. node2vec: Scalable feature learning for networks. In SIGKDD. 855\u2013864.","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_2_17_1","unstructured":"William\u00a0L Hamilton Rex Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. In NeurIPS. 1025\u20131035."},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401063"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"crossref","unstructured":"Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017. Neural collaborative filtering. In WWW. 173\u2013182.","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_2_20_1","unstructured":"Xuming Hu Fukun Ma Chenyao Liu Chenwei Zhang Lijie Wen and Philip\u00a0S Yu. 2021. Semi-supervised Relation Extraction via Incremental Meta Self-Training. In EMNLP."},{"key":"e_1_3_2_2_21_1","unstructured":"Xuming Hu Lijie Wen Yusong Xu Chenwei Zhang and Philip\u00a0S. Yu. 2020. SelfORE: Self-supervised Relational Feature Learning for Open Relation Extraction. In EMNLP. 3673\u20133682."},{"key":"e_1_3_2_2_22_1","unstructured":"Eric Jang Shixiang Gu and Ben Poole. 2017. Categorical reparameterization with gumbel-softmax. (2017)."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2010.57"},{"volume-title":"Random maximum margin hashing","author":"Joly Alexis","key":"e_1_3_2_2_24_1","unstructured":"Alexis Joly and Olivier Buisson. 2011. Random maximum margin hashing. In CVPR. IEEE, 873\u2013880."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"crossref","unstructured":"Wang-Cheng Kang Derek\u00a0Zhiyuan Cheng Tiansheng Yao Xinyang Yi Ting Chen Lichan Hong and Ed\u00a0H Chi. 2021. Learning to Embed Categorical Features without Embedding Tables for Recommendation. In SIGKDD. 840\u2013850.","DOI":"10.1145\/3447548.3467304"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"crossref","unstructured":"Wang-Cheng Kang and Julian McAuley. 2019. Candidate generation with binary codes for large-scale top-n recommendation. In CIKM. 1523\u20131532.","DOI":"10.1145\/3357384.3357930"},{"key":"e_1_3_2_2_27_1","unstructured":"Thomas\u00a0N Kipf and Max Welling. 2017. Semi-supervised classification with graph convolutional networks. (2017)."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2545667"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"crossref","unstructured":"Piotr Koniusz Hongguang Zhang and Fatih Porikli. 2018. A deeper look at power normalizations. In CVPR. 5774\u20135783.","DOI":"10.1109\/CVPR.2018.00605"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"crossref","unstructured":"Tim Kraska Alex Beutel Ed\u00a0H Chi Jeffrey Dean and Neoklis Polyzotis. 2018. The case for learned index structures. In SIGMOD. 489\u2013504.","DOI":"10.1145\/3183713.3196909"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"crossref","unstructured":"Hao Li Wei Liu and Heng Ji. 2014. Two-Stage Hashing for Fast Document Retrieval.. In ACL. 495\u2013500.","DOI":"10.3115\/v1\/P14-2081"},{"key":"e_1_3_2_2_32_1","unstructured":"Jingjing Li Zichao Li Lili Mou Xin Jiang Michael Lyu and Irwin King. 2020. Unsupervised text generation by learning from search. NeurIPS."},{"key":"e_1_3_2_2_33_1","unstructured":"Xiaofan Lin Cong Zhao and Wei Pan. 2017. Towards accurate binary convolutional neural network. (2017)."},{"key":"e_1_3_2_2_34_1","volume-title":"Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. arXiv","author":"Liu Chunlei","year":"2019","unstructured":"Chunlei Liu, Wenrui Ding, Xin Xia, Yuan Hu, Baochang Zhang, Jianzhuang Liu, Bohan Zhuang, and Guodong Guo. 2019. Rectified Binary Convolutional Networks for Enhancing the Performance of 1-bit DCNNs. arXiv (2019)."},{"key":"e_1_3_2_2_35_1","unstructured":"Chen Ma Peng Kang and Xue Liu. 2019. Hierarchical gating networks for sequential recommendation. In SIGKDD."},{"key":"e_1_3_2_2_36_1","unstructured":"Chen Ma Liheng Ma Yingxue Zhang Ruiming Tang Xue Liu and Mark Coates. 2020. Probabilistic metric learning with adaptive margin for top-k recommendation. In SIGKDD."},{"key":"e_1_3_2_2_37_1","unstructured":"Chris\u00a0J Maddison Andriy Mnih and Yee\u00a0Whye Teh. 2017. The concrete distribution: A continuous relaxation of discrete random variables. (2017)."},{"key":"e_1_3_2_2_38_1","unstructured":"Haotong Qin Ruihao Gong Xianglong Liu Mingzhu Shen Ziran Wei Fengwei Yu and Jingkuan Song. 2020. Forward and backward information retention for accurate BNNs. In CVPR. 2250\u20132259."},{"volume-title":"Recognizing indoor scenes","author":"Quattoni Ariadna","key":"e_1_3_2_2_39_1","unstructured":"Ariadna Quattoni and Antonio Torralba. 2009. Recognizing indoor scenes. In CVPR. IEEE, 413\u2013420."},{"volume-title":"Imagenet classification using binary CNNs","author":"Rastegari Mohammad","key":"e_1_3_2_2_40_1","unstructured":"Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, and Ali Farhadi. 2016. Imagenet classification using binary CNNs. In ECCV. Springer, 525\u2013542."},{"key":"e_1_3_2_2_41_1","unstructured":"BRYAN RUST. 2013. CONVERGENCE OF FOURIER SERIES. (2013)."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"crossref","unstructured":"Zixing Song Ziqiao Meng Yifei Zhang and Irwin King. 2021. Semi-supervised Multi-label Learning for Graph-structured Data. In CIKM.","DOI":"10.1145\/3459637.3482391"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"crossref","unstructured":"Zixing Song Yifei Zhang and Irwin King. 2022. Towards an Optimal Asymmetric Graph Structure for Robust Semi-supervised Node Classification. In SIGKDD.","DOI":"10.1145\/3534678.3539332"},{"key":"e_1_3_2_2_44_1","unstructured":"Qiaoyu Tan Ninghao Liu Xing Zhao Hongxia Yang Jingren Zhou and Xia Hu. 2020. Learning to hash with GNNs for RecSys. In WWW. 1988\u20131998."},{"key":"e_1_3_2_2_45_1","unstructured":"Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Li\u00f2 and Yoshua Bengio. 2018. Graph Attention Networks. In ICLR."},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699960"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Xiangnan He Meng Wang Fuli Feng and Tat-Seng Chua. 2019. Neural graph collaborative filtering. In SIGIR. 165\u2013174.","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_2_48_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu and Tat-Seng Chua. 2020. Disentangled graph collaborative filtering. In ICLR. 1001\u20131010.","DOI":"10.1145\/3397271.3401137"},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"crossref","unstructured":"Xing Wei Yue Zhang Yihong Gong Jiawei Zhang and Nanning Zheng. 2018. Grassmann pooling as compact homogeneous bilinear pooling for fine-grained visual classification. In ECCV. 355\u2013370.","DOI":"10.1007\/978-3-030-01219-9_22"},{"key":"e_1_3_2_2_50_1","volume-title":"Spectral hashing. NeurIPS","author":"Weiss Yair","year":"2008","unstructured":"Yair Weiss and Antonio Torralba. 2008. Spectral hashing. NeurIPS (2008)."},{"key":"e_1_3_2_2_51_1","unstructured":"Felix Wu Amauri Souza Tianyi Zhang Christopher Fifty Tao Yu and Kilian Weinberger. 2019. Simplifying graph convolutional networks. In ICML."},{"key":"e_1_3_2_2_52_1","volume-title":"How powerful are graph neural networks?","author":"Xu Keyulu","year":"2019","unstructured":"Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka. 2019. How powerful are graph neural networks? (2019)."},{"key":"e_1_3_2_2_53_1","volume-title":"Learning frequency domain approximation for BNNs. arXiv","author":"Xu Yixing","year":"2021","unstructured":"Yixing Xu, Kai Han, Chang Xu, Yehui Tang, Chunjing Xu, and Yunhe Wang. 2021. Learning frequency domain approximation for BNNs. arXiv (2021)."},{"key":"e_1_3_2_2_54_1","doi-asserted-by":"crossref","unstructured":"Jiwei Yang Xu Shen Jun Xing Xinmei Tian Houqiang Li Bing Deng Jianqiang Huang and Xian-Sheng Hua. 2019. Quantization Networks. In CVPR. 7308\u20137316.","DOI":"10.1109\/CVPR.2019.00748"},{"key":"e_1_3_2_2_55_1","volume-title":"HRCF: Enhancing collaborative filtering via hyperbolic geometric regularization. In WWW. 2462\u20132471.","author":"Yang Menglin","year":"2022","unstructured":"Menglin Yang, Min Zhou, Jiahong Liu, Defu Lian, and Irwin King. 2022. HRCF: Enhancing collaborative filtering via hyperbolic geometric regularization. In WWW. 2462\u20132471."},{"volume-title":"Toward faster and simpler matrix normalization via rank-1 update","author":"Yu Tan","key":"e_1_3_2_2_56_1","unstructured":"Tan Yu, Yunfeng Cai, and Ping Li. 2020. Toward faster and simpler matrix normalization via rank-1 update. In ECCV. Springer, 203\u2013219."},{"volume-title":"Laplacian co-hashing of terms and documents","author":"Zhang Dell","key":"e_1_3_2_2_57_1","unstructured":"Dell Zhang, Jun Wang, Deng Cai, and Jinsong Lu. 2010. Laplacian co-hashing of terms and documents. In ECIR. Springer, 577\u2013580."},{"key":"e_1_3_2_2_58_1","doi-asserted-by":"crossref","unstructured":"Jiani Zhang Xingjian Shi Shenglin Zhao and Irwin King. 2019. Stacked and reconstructed graph convolutional networks for recommender systems. IJCAI.","DOI":"10.24963\/ijcai.2019\/592"},{"key":"e_1_3_2_2_59_1","volume-title":"Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation. arXiv","author":"Zhang Xinni","year":"2022","unstructured":"Xinni Zhang, Yankai Chen, Cuiyun Gao, Qing Liao, Shenglin Zhao, and Irwin King. 2022. Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation. arXiv (2022)."},{"key":"e_1_3_2_2_60_1","doi-asserted-by":"crossref","unstructured":"Yan Zhang Defu Lian and Guowu Yang. 2017. Discrete personalized ranking for fast collaborative filtering from implicit feedback. In AAAI Vol.\u00a031.","DOI":"10.1609\/aaai.v31i1.10764"},{"key":"e_1_3_2_2_61_1","doi-asserted-by":"crossref","unstructured":"Yifei Zhang and Hao Zhu. 2019. Doc2hash: Learning discrete latent variables for documents retrieval. In NAACL. 2235\u20132240.","DOI":"10.18653\/v1\/N19-1232"},{"key":"e_1_3_2_2_62_1","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539425"}],"event":{"name":"WWW '23: The ACM Web Conference 2023","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Austin TX USA","acronym":"WWW '23"},"container-title":["Proceedings of the ACM Web Conference 2023"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3543507.3583219","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3543507.3583219","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:18Z","timestamp":1750183758000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3543507.3583219"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,4,30]]},"references-count":62,"alternative-id":["10.1145\/3543507.3583219","10.1145\/3543507"],"URL":"https:\/\/doi.org\/10.1145\/3543507.3583219","relation":{},"subject":[],"published":{"date-parts":[[2023,4,30]]},"assertion":[{"value":"2023-04-30","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}