{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,28]],"date-time":"2025-11-28T12:33:23Z","timestamp":1764333203969,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T00:00:00Z","timestamp":1650844800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62071327"],"award-info":[{"award-number":["62071327"]}],"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":[[2022,4,25]]},"DOI":"10.1145\/3487553.3524711","type":"proceedings-article","created":{"date-parts":[[2022,8,16]],"date-time":"2022-08-16T22:41:30Z","timestamp":1660689690000},"page":"996-1003","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["MI-GCN: Node Mutual Information-based Graph Convolutional Network"],"prefix":"10.1145","author":[{"given":"Lei","family":"Tian","sequence":"first","affiliation":[{"name":"Center for Applied Mathematics, Tianjin University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaming","family":"Wu","sequence":"additional","affiliation":[{"name":"Center for Applied Mathematics, Tianjin University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,8,16]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/274"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1209\/0295-5075\/104\/68006"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330925"},{"key":"e_1_3_2_1_4_1","volume-title":"Efficient immunization strategies for computer networks and populations. Physical review letters 91, 24","author":"Cohen Reuven","year":"2003","unstructured":"Reuven Cohen , Shlomo Havlin , and Daniel Ben-Avraham . 2003. Efficient immunization strategies for computer networks and populations. Physical review letters 91, 24 ( 2003 ), 247901. Reuven Cohen, Shlomo Havlin, and Daniel Ben-Avraham. 2003. Efficient immunization strategies for computer networks and populations. Physical review letters 91, 24 (2003), 247901."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1002\/0471200611"},{"key":"e_1_3_2_1_6_1","volume-title":"A viscous fluid model for multimodal non-rigid image registration using mutual information. Medical image analysis 7, 4","author":"D\u2019agostino Emiliano","year":"2003","unstructured":"Emiliano D\u2019agostino , Frederik Maes , Dirk Vandermeulen , and Paul Suetens . 2003. A viscous fluid model for multimodal non-rigid image registration using mutual information. Medical image analysis 7, 4 ( 2003 ), 565\u2013575. Emiliano D\u2019agostino, Frederik Maes, Dirk Vandermeulen, and Paul Suetens. 2003. A viscous fluid model for multimodal non-rigid image registration using mutual information. Medical image analysis 7, 4 (2003), 565\u2013575."},{"key":"e_1_3_2_1_7_1","volume-title":"Quoc Viet\u00a0Hung Nguyen, and Karl Aberer","author":"Duong Chi\u00a0Thang","year":"2019","unstructured":"Chi\u00a0Thang Duong , Thanh\u00a0Dat Hoang , Ha\u00a0 The\u00a0Hien Dang , Quoc Viet\u00a0Hung Nguyen, and Karl Aberer . 2019 . On node features for graph neural networks. arXiv preprint arXiv:1911.08795(2019). Chi\u00a0Thang Duong, Thanh\u00a0Dat Hoang, Ha\u00a0The\u00a0Hien Dang, Quoc Viet\u00a0Hung Nguyen, and Karl Aberer. 2019. On node features for graph neural networks. arXiv preprint arXiv:1911.08795(2019)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11192-012-0796-4"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313488"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_11_1","volume-title":"Kipf and Max Welling","author":"N.","year":"2017","unstructured":"Thomas\u00a0 N. Kipf and Max Welling . 2017 . Semi-Supervised Classification with Graph Convolutional Networks. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings. OpenReview .net. Thomas\u00a0N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In 5th International Conference on Learning Representations, ICLR 2017, Toulon, France, April 24-26, 2017, Conference Track Proceedings. OpenReview.net."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i5.16542"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btp311"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3289600.3291015"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/2567948.2576939"},{"key":"e_1_3_2_1_16_1","volume-title":"Using mapping entropy to identify node centrality in complex networks. Physica A: Statistical Mechanics and its Applications 453","author":"Nie Tingyuan","year":"2016","unstructured":"Tingyuan Nie , Zheng Guo , Kun Zhao , and Zhe-Ming Lu. 2016. Using mapping entropy to identify node centrality in complex networks. Physica A: Statistical Mechanics and its Applications 453 ( 2016 ), 290\u2013297. Tingyuan Nie, Zheng Guo, Kun Zhao, and Zhe-Ming Lu. 2016. Using mapping entropy to identify node centrality in complex networks. Physica A: Statistical Mechanics and its Applications 453 (2016), 290\u2013297."},{"key":"e_1_3_2_1_17_1","unstructured":"Hoang Nt and Takanori Maehara. 2019. Revisiting graph neural networks: All we have is low-pass filters. arXiv preprint arXiv:1905.09550(2019).  Hoang Nt and Takanori Maehara. 2019. Revisiting graph neural networks: All we have is low-pass filters. arXiv preprint arXiv:1905.09550(2019)."},{"volume-title":"Chaos in Gravitational N-Body Systems","author":"N\u00fa\u00f1ez JA","key":"e_1_3_2_1_18_1","unstructured":"JA N\u00fa\u00f1ez , PM Cincotta , and FC Wachlin . 1996. Information entropy . In Chaos in Gravitational N-Body Systems . Springer , 43\u201353. JA N\u00fa\u00f1ez, PM Cincotta, and FC Wachlin. 1996. Information entropy. In Chaos in Gravitational N-Body Systems. Springer, 43\u201353."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2003.815867"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.3390\/e19110614"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098061"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-30135-6_17"},{"key":"e_1_3_2_1_24_1","volume-title":"DropEdge: Towards Deep Graph Convolutional Networks on Node Classification. In 8th International Conference on Learning Representations, ICLR 2020","author":"Rong Yu","year":"2020","unstructured":"Yu Rong , Wenbing Huang , Tingyang Xu , and Junzhou Huang . 2020 . DropEdge: Towards Deep Graph Convolutional Networks on Node Classification. In 8th International Conference on Learning Representations, ICLR 2020 , Addis Ababa, Ethiopia , April 26-30, 2020. OpenReview.net. Yu Rong, Wenbing Huang, Tingyang Xu, and Junzhou Huang. 2020. DropEdge: Towards Deep Graph Convolutional Networks on Node Classification. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26-30, 2020. OpenReview.net."},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.1996.559484"},{"key":"e_1_3_2_1_26_1","unstructured":"Petar Veli\u010dkovi\u0107 Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio and Yoshua Bengio. 2017. Graph attention networks. arXiv preprint arXiv:1710.10903(2017).  Petar Veli\u010dkovi\u0107 Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio and Yoshua Bengio. 2017. Graph attention networks. arXiv preprint arXiv:1710.10903(2017)."},{"key":"e_1_3_2_1_27_1","volume-title":"Heterogeneous Graph Attention Network. In The World Wide Web Conference","author":"Wang Xiao","year":"2019","unstructured":"Xiao Wang , Houye Ji , Chuan Shi , Bai Wang , Yanfang Ye , Peng Cui , and Philip\u00a0 S Yu . 2019 . Heterogeneous Graph Attention Network. In The World Wide Web Conference ( San Francisco, CA, USA) (WWW \u201919). Association for Computing Machinery, New York, NY, USA , 2022\u20132032. https:\/\/doi.org\/10.1145\/3308558.3313562 10.1145\/3308558.3313562 Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Yanfang Ye, Peng Cui, and Philip\u00a0S Yu. 2019. Heterogeneous Graph Attention Network. In The World Wide Web Conference (San Francisco, CA, USA) (WWW \u201919). Association for Computing Machinery, New York, NY, USA, 2022\u20132032. https:\/\/doi.org\/10.1145\/3308558.3313562"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403177"},{"key":"e_1_3_2_1_29_1","volume-title":"Graph Wavelet Neural Network. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=H1ewdiR5tQ","author":"Xu Bingbing","year":"2019","unstructured":"Bingbing Xu , Huawei Shen , Qi Cao , Yunqi Qiu , and Xueqi Cheng . 2019 . Graph Wavelet Neural Network. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=H1ewdiR5tQ Bingbing Xu, Huawei Shen, Qi Cao, Yunqi Qiu, and Xueqi Cheng. 2019. Graph Wavelet Neural Network. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=H1ewdiR5tQ"},{"key":"e_1_3_2_1_30_1","volume-title":"International Conference on Machine Learning. PMLR, 5453\u20135462","author":"Xu Keyulu","year":"2018","unstructured":"Keyulu Xu , Chengtao Li , Yonglong Tian , Tomohiro Sonobe , Ken-ichi Kawarabayashi, and Stefanie Jegelka . 2018 . Representation learning on graphs with jumping knowledge networks . In International Conference on Machine Learning. PMLR, 5453\u20135462 . Keyulu Xu, Chengtao Li, Yonglong Tian, Tomohiro Sonobe, Ken-ichi Kawarabayashi, and Stefanie Jegelka. 2018. Representation learning on graphs with jumping knowledge networks. In International Conference on Machine Learning. PMLR, 5453\u20135462."},{"key":"e_1_3_2_1_31_1","volume-title":"International Conference on Machine Learning. PMLR, 7134\u20137143","author":"You Jiaxuan","year":"2019","unstructured":"Jiaxuan You , Rex Ying , and Jure Leskovec . 2019 . Position-aware graph neural networks . In International Conference on Machine Learning. PMLR, 7134\u20137143 . Jiaxuan You, Rex Ying, and Jure Leskovec. 2019. Position-aware graph neural networks. In International Conference on Machine Learning. PMLR, 7134\u20137143."}],"event":{"name":"WWW '22: The ACM Web Conference 2022","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Virtual Event, Lyon France","acronym":"WWW '22"},"container-title":["Companion Proceedings of the Web Conference 2022"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3487553.3524711","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3487553.3524711","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:22Z","timestamp":1750188622000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3487553.3524711"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,25]]},"references-count":31,"alternative-id":["10.1145\/3487553.3524711","10.1145\/3487553"],"URL":"https:\/\/doi.org\/10.1145\/3487553.3524711","relation":{},"subject":[],"published":{"date-parts":[[2022,4,25]]},"assertion":[{"value":"2022-08-16","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}