{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T16:21:36Z","timestamp":1761582096951,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T00:00:00Z","timestamp":1618790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,4,19]]},"DOI":"10.1145\/3442381.3449928","type":"proceedings-article","created":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T19:03:16Z","timestamp":1622746996000},"page":"3136-3145","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["REST: Reciprocal Framework for Spatiotemporal-coupled Predictions"],"prefix":"10.1145","author":[{"given":"Haozhe","family":"Lin","sequence":"first","affiliation":[{"name":"Tsinghua University, China"}]},{"given":"Yushun","family":"Fan","sequence":"additional","affiliation":[{"name":"Tsinghua University, China"}]},{"given":"Jia","family":"Zhang","sequence":"additional","affiliation":[{"name":"Southern Methodist University, USA"}]},{"given":"Bing","family":"Bai","sequence":"additional","affiliation":[{"name":"Tencent, China"}]}],"member":"320","published-online":{"date-parts":[[2021,6,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2015.04.007"},{"key":"e_1_3_2_1_2_1","volume-title":"Proceedings of the 30th International Conference on Neural Information Processing Systems. 2001\u20132009","author":"Atwood James","year":"2016","unstructured":"James Atwood and Don Towsley . 2016 . Diffusion-convolutional neural networks . In Proceedings of the 30th International Conference on Neural Information Processing Systems. 2001\u20132009 . James Atwood and Don Towsley. 2016. Diffusion-convolutional neural networks. In Proceedings of the 30th International Conference on Neural Information Processing Systems. 2001\u20132009."},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the 28th International Conference on Neural Information Processing Systems. 1171\u20131179","author":"Bengio Samy","year":"2015","unstructured":"Samy Bengio , Oriol Vinyals , Navdeep Jaitly , and Noam Shazeer . 2015 . Scheduled sampling for sequence prediction with recurrent neural networks . In Proceedings of the 28th International Conference on Neural Information Processing Systems. 1171\u20131179 . Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer. 2015. Scheduled sampling for sequence prediction with recurrent neural networks. In Proceedings of the 28th International Conference on Neural Information Processing Systems. 1171\u20131179."},{"key":"e_1_3_2_1_4_1","unstructured":"George E.\u00a0P. Box and Gwilym\u00a0M. Jenkins. 1970. Time series analysis forecating and control. HOlden-Day.  George E.\u00a0P. Box and Gwilym\u00a0M. Jenkins. 1970. Time series analysis forecating and control. HOlden-Day."},{"key":"e_1_3_2_1_5_1","volume-title":"An experimental automatic word recognition system. JSRU report 1003, 5","author":"Bridle S","year":"1974","unstructured":"John\u00a0 S Bridle and Michael\u00a0 D Brown . 1974. An experimental automatic word recognition system. JSRU report 1003, 5 ( 1974 ), 33. John\u00a0S Bridle and Michael\u00a0D Brown. 1974. An experimental automatic word recognition system. JSRU report 1003, 5 (1974), 33."},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of International Conference on Learning Representations.","author":"Bruna Joan","year":"2014","unstructured":"Joan Bruna , Wojciech Zaremba , Arthur Szlam , and Yann LeCun . 2014 . Spectral networks and locally connected networks on graphs . In Proceedings of International Conference on Learning Representations. Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun. 2014. Spectral networks and locally connected networks on graphs. In Proceedings of International Conference on Learning Representations."},{"key":"e_1_3_2_1_7_1","unstructured":"Junyoung Chung Caglar Gulcehre KyungHyun Cho and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555(2014).  Junyoung Chung Caglar Gulcehre KyungHyun Cho and Yoshua Bengio. 2014. Empirical evaluation of gated recurrent neural networks on sequence modeling. arXiv preprint arXiv:1412.3555(2014)."},{"key":"e_1_3_2_1_8_1","volume-title":"Proceedings of International Conference on Machine Learning. 933\u2013941","author":"Dauphin N","year":"2017","unstructured":"Yann\u00a0 N Dauphin , Angela Fan , Michael Auli , and David Grangier . 2017 . Language modeling with gated convolutional networks . In Proceedings of International Conference on Machine Learning. 933\u2013941 . Yann\u00a0N Dauphin, Angela Fan, Michael Auli, and David Grangier. 2017. Language modeling with gated convolutional networks. In Proceedings of International Conference on Machine Learning. 933\u2013941."},{"key":"e_1_3_2_1_9_1","volume-title":"Proceedings of the 30th International Conference on Neural Information Processing Systems. 3844\u20133852","author":"Defferrard Micha\u00ebl","year":"2016","unstructured":"Micha\u00ebl Defferrard , Xavier Bresson , and Pierre Vandergheynst . 2016 . Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering . In Proceedings of the 30th International Conference on Neural Information Processing Systems. 3844\u20133852 . Micha\u00ebl Defferrard, Xavier Bresson, and Pierre Vandergheynst. 2016. Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering. In Proceedings of the 30th International Conference on Neural Information Processing Systems. 3844\u20133852."},{"key":"e_1_3_2_1_10_1","first-page":"15","article-title":"A spatiotemporal prediction framework for air pollution based on deep RNN. ISPRS Annals of the Photogrammetry","volume":"4","author":"Fan Junxiang","year":"2017","unstructured":"Junxiang Fan , Qi Li , Junxiong Hou , Xiao Feng , Hamed Karimian , and Shaofu Lin . 2017 . A spatiotemporal prediction framework for air pollution based on deep RNN. ISPRS Annals of the Photogrammetry , Remote Sensing and Spatial Information Sciences 4 (2017), 15 . Junxiang Fan, Qi Li, Junxiong Hou, Xiao Feng, Hamed Karimian, and Shaofu Lin. 2017. A spatiotemporal prediction framework for air pollution based on deep RNN. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences 4(2017), 15.","journal-title":"Remote Sensing and Spatial Information Sciences"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33013656"},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the 31st Conference on Neural Information Processing Systems. 1025\u20131035","author":"Hamilton Will","year":"2017","unstructured":"Will Hamilton , Zhitao Ying , and Jure Leskovec . 2017 . Inductive representation learning on large graphs . In Proceedings of the 31st Conference on Neural Information Processing Systems. 1025\u20131035 . Will Hamilton, Zhitao Ying, and Jure Leskovec. 2017. Inductive representation learning on large graphs. In Proceedings of the 31st Conference on Neural Information Processing Systems. 1025\u20131035."},{"key":"e_1_3_2_1_13_1","volume-title":"Long short-term memory. Neural computation 9, 8","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber . 1997. Long short-term memory. Neural computation 9, 8 ( 1997 ), 1735\u20131780. Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation 9, 8 (1997), 1735\u20131780."},{"key":"e_1_3_2_1_14_1","unstructured":"Thomas\u00a0N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907(2016).  Thomas\u00a0N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907(2016)."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209978.3210006"},{"key":"e_1_3_2_1_16_1","volume-title":"Proceedings of International Conference on Learning Representations.","author":"Li Yaguang","year":"2018","unstructured":"Yaguang Li , Rose Yu , Cyrus Shahabi , and Yan Liu . 2018 . Diffusion convolutional recurrent neural network: data-driven traffic forecasting . In Proceedings of International Conference on Learning Representations. Yaguang Li, Rose Yu, Cyrus Shahabi, and Yan Liu. 2018. Diffusion convolutional recurrent neural network: data-driven traffic forecasting. In Proceedings of International Conference on Learning Representations."},{"key":"e_1_3_2_1_17_1","volume-title":"MSP-RNN: Multi-Step Piecewise Recurrent Neural Network for Predicting the Tendency of Services Invocation","author":"Lin Haozhe","year":"2020","unstructured":"Haozhe Lin , YuShun Fan , Jia Zhang , and Bing Bai . 2020. MSP-RNN: Multi-Step Piecewise Recurrent Neural Network for Predicting the Tendency of Services Invocation . IEEE Transactions on Services Computing( 2020 ). Haozhe Lin, YuShun Fan, Jia Zhang, and Bing Bai. 2020. MSP-RNN: Multi-Step Piecewise Recurrent Neural Network for Predicting the Tendency of Services Invocation. IEEE Transactions on Services Computing(2020)."},{"volume-title":"New introduction to multiple time series analysis","author":"L\u00fctkepohl Helmut","key":"e_1_3_2_1_18_1","unstructured":"Helmut L\u00fctkepohl . 2005. New introduction to multiple time series analysis . Springer Science & Business Media . Helmut L\u00fctkepohl. 2005. New introduction to multiple time series analysis. Springer Science & Business Media."},{"key":"e_1_3_2_1_19_1","volume-title":"Distance measures for speech recognition, psychological and instrumental. Pattern recognition and artificial intelligence 116","author":"Mermelstein Paul","year":"1976","unstructured":"Paul Mermelstein . 1976. Distance measures for speech recognition, psychological and instrumental. Pattern recognition and artificial intelligence 116 ( 1976 ), 374\u2013388. Paul Mermelstein. 1976. Distance measures for speech recognition, psychological and instrumental. Pattern recognition and artificial intelligence 116 (1976), 374\u2013388."},{"key":"e_1_3_2_1_20_1","volume-title":"Design, analysis and experimental evaluation of block based transformation in MFCC computation for speaker recognition. Speech communication 54, 4","author":"Sahidullah Md","year":"2012","unstructured":"Md Sahidullah and Goutam Saha . 2012. Design, analysis and experimental evaluation of block based transformation in MFCC computation for speaker recognition. Speech communication 54, 4 ( 2012 ), 543\u2013565. Md Sahidullah and Goutam Saha. 2012. Design, analysis and experimental evaluation of block based transformation in MFCC computation for speaker recognition. Speech communication 54, 4 (2012), 543\u2013565."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-12-2797-2019"},{"key":"e_1_3_2_1_22_1","volume-title":"The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains","author":"Shuman I","year":"2013","unstructured":"David\u00a0 I Shuman , Sunil\u00a0 K Narang , Pascal Frossard , Antonio Ortega , and Pierre Vandergheynst . 2013. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains . IEEE signal processing magazine 30, 3 ( 2013 ), 83\u201398. David\u00a0I Shuman, Sunil\u00a0K Narang, Pascal Frossard, Antonio Ortega, and Pierre Vandergheynst. 2013. The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains. IEEE signal processing magazine 30, 3 (2013), 83\u201398."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:STCO.0000035301.49549.88"},{"key":"e_1_3_2_1_24_1","volume-title":"Proceedings of the 32th International Conference on Neural Information Processing Systems. 8713\u20138723","author":"Stretcu Otilia","year":"2019","unstructured":"Otilia Stretcu , Krishnamurthy Viswanathan , Dana Movshovitz-Attias , Emmanouil Platanios , Sujith Ravi , and Andrew Tomkins . 2019 . Graph agreement models for semi-supervised learning . In Proceedings of the 32th International Conference on Neural Information Processing Systems. 8713\u20138723 . Otilia Stretcu, Krishnamurthy Viswanathan, Dana Movshovitz-Attias, Emmanouil Platanios, Sujith Ravi, and Andrew Tomkins. 2019. Graph agreement models for semi-supervised learning. In Proceedings of the 32th International Conference on Neural Information Processing Systems. 8713\u20138723."},{"key":"e_1_3_2_1_25_1","volume-title":"Proceedings of the 27th International Conference on Neural Information Processing Systems, Vol.\u00a02. 3104\u20133112","author":"Sutskever I","year":"2014","unstructured":"I Sutskever , O Vinyals , and QV Le . 2014 . Sequence to sequence learning with neural networks . In Proceedings of the 27th International Conference on Neural Information Processing Systems, Vol.\u00a02. 3104\u20133112 . I Sutskever, O Vinyals, and QV Le. 2014. Sequence to sequence learning with neural networks. In Proceedings of the 27th International Conference on Neural Information Processing Systems, Vol.\u00a02. 3104\u20133112."},{"key":"e_1_3_2_1_26_1","first-page":"10","article-title":"Multiple-output modeling for multi-step-ahead time series forecasting","volume":"73","author":"Taieb Souhaib\u00a0Ben","year":"2010","unstructured":"Souhaib\u00a0Ben Taieb , Antti Sorjamaa , and Gianluca Bontempi . 2010 . Multiple-output modeling for multi-step-ahead time series forecasting . Neurocomputing 73 , 10 - 12 (2010), 1950\u20131957. Souhaib\u00a0Ben Taieb, Antti Sorjamaa, and Gianluca Bontempi. 2010. Multiple-output modeling for multi-step-ahead time series forecasting. Neurocomputing 73, 10-12 (2010), 1950\u20131957.","journal-title":"Neurocomputing"},{"key":"e_1_3_2_1_27_1","volume-title":"WaveNet: A Generative Model for Raw Audio. In 9th ISCA Speech Synthesis Workshop. 125\u2013125","author":"van\u00a0den Oord A\u00e4ron","year":"2016","unstructured":"A\u00e4ron van\u00a0den Oord , Sander Dieleman , Heiga Zen , Karen Simonyan , Oriol Vinyals , Alex Graves , Nal Kalchbrenner , Andrew Senior , and Koray Kavukcuoglu . 2016 . WaveNet: A Generative Model for Raw Audio. In 9th ISCA Speech Synthesis Workshop. 125\u2013125 . A\u00e4ron van\u00a0den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, and Koray Kavukcuoglu. 2016. WaveNet: A Generative Model for Raw Audio. In 9th ISCA Speech Synthesis Workshop. 125\u2013125."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/264"},{"key":"e_1_3_2_1_29_1","volume-title":"International Conference on Learning Representations.","author":"Xu Keyulu","year":"2018","unstructured":"Keyulu Xu , Weihua Hu , Jure Leskovec , and Stefanie Jegelka . 2018 . How Powerful are Graph Neural Networks? . In International Conference on Learning Representations. Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka. 2018. How Powerful are Graph Neural Networks?. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/505"},{"key":"e_1_3_2_1_31_1","volume-title":"Proceedings of International Conference on Learning Representations.","author":"Yu Fisher","year":"2016","unstructured":"Fisher Yu and Vladlen Koltun . 2016 . Multi-scale context aggregation by dilated convolutions . In Proceedings of International Conference on Learning Representations. Fisher Yu and Vladlen Koltun. 2016. Multi-scale context aggregation by dilated convolutions. In Proceedings of International Conference on Learning Representations."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3097996"},{"key":"e_1_3_2_1_33_1","volume-title":"Proceedings of the 31th International Conference on Neural Information Processing Systems. 5165\u20135175","author":"Zhang Muhan","year":"2018","unstructured":"Muhan Zhang and Yixin Chen . 2018 . Link prediction based on graph neural networks . In Proceedings of the 31th International Conference on Neural Information Processing Systems. 5165\u20135175 . Muhan Zhang and Yixin Chen. 2018. Link prediction based on graph neural networks. In Proceedings of the 31th International Conference on Neural Information Processing Systems. 5165\u20135175."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5470"}],"event":{"name":"WWW '21: The Web Conference 2021","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Ljubljana Slovenia","acronym":"WWW '21"},"container-title":["Proceedings of the Web Conference 2021"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3449928","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3442381.3449928","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:32Z","timestamp":1750195472000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3449928"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,19]]},"references-count":34,"alternative-id":["10.1145\/3442381.3449928","10.1145\/3442381"],"URL":"https:\/\/doi.org\/10.1145\/3442381.3449928","relation":{},"subject":[],"published":{"date-parts":[[2021,4,19]]},"assertion":[{"value":"2021-06-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}