{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,20]],"date-time":"2025-12-20T21:52:58Z","timestamp":1766267578400,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":17,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T00:00:00Z","timestamp":1603065600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"ARC","award":["DP150100031","DP160103934"],"award-info":[{"award-number":["DP150100031","DP160103934"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,19]]},"DOI":"10.1145\/3340531.3417455","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T05:31:05Z","timestamp":1603085465000},"page":"3313-3316","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["A Capsule Network-based Model for Learning Node Embeddings"],"prefix":"10.1145","author":[{"given":"Dai Quoc","family":"Nguyen","sequence":"first","affiliation":[{"name":"Monash University, Clayton, Australia"}]},{"given":"Tu Dinh","family":"Nguyen","sequence":"additional","affiliation":[{"name":"unaffiliated, Clayton, Australia"}]},{"given":"Dat Quoc","family":"Nguyen","sequence":"additional","affiliation":[{"name":"VinAI Research, Hanoi, Vietnam"}]},{"given":"Dinh","family":"Phung","sequence":"additional","affiliation":[{"name":"Monash University, Clayton, Australia"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Alberto Garcia Duran and Mathias Niepert. 2017. Learning Graph Representations with Embedding Propagation. In NIPS. 5119--5130.  Alberto Garcia Duran and Mathias Niepert. 2017. Learning Graph Representations with Embedding Propagation. In NIPS. 5119--5130."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.5555\/1390681.1442794"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Aditya Grover and Jure Leskovec. 2016. Node2Vec: Scalable Feature Learning for Networks. In SIGKDD. 855--864.  Aditya Grover and Jure Leskovec. 2016. Node2Vec: Scalable Feature Learning for Networks. In SIGKDD. 855--864.","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_2_4_1","volume-title":"SPINE: Structural Identity Preserved Inductive Network Embedding. arXiv preprint arXiv:1802.03984","author":"Guo Junliang","year":"2018","unstructured":"Junliang Guo , Linli Xu , and Enhong Chen . 2018 . SPINE: Structural Identity Preserved Inductive Network Embedding. arXiv preprint arXiv:1802.03984 (2018). Junliang Guo, Linli Xu, and Enhong Chen. 2018. SPINE: Structural Identity Preserved Inductive Network Embedding. arXiv preprint arXiv:1802.03984 (2018)."},{"key":"e_1_3_2_2_5_1","unstructured":"William L. Hamilton Rex Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. In NIPS. 1024--1034.  William L. Hamilton Rex Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. In NIPS. 1024--1034."},{"key":"e_1_3_2_2_6_1","unstructured":"S\u00e9bastien Jean Kyunghyun Cho Roland Memisevic and Yoshua Bengio. 2015. On Using Very Large Target Vocabulary for Neural Machine Translation. In ACL. 1--10.  S\u00e9bastien Jean Kyunghyun Cho Roland Memisevic and Yoshua Bengio. 2015. On Using Very Large Target Vocabulary for Neural Machine Translation. In ACL. 1--10."},{"key":"e_1_3_2_2_7_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik","year":"2014","unstructured":"Diederik Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_2_8_1","volume-title":"Kipf and Max Welling","author":"Thomas","year":"2017","unstructured":"Thomas N. Kipf and Max Welling . 2017 . Semi-Supervised Classification with Graph Convolutional Networks. In ICLR. Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In ICLR."},{"key":"e_1_3_2_2_9_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Gregory S. Corrado and Jeffrey Dean. 2013. Distributed Representations of Words and Phrases and their Compositionality. In NIPS. 3111--3119.  Tomas Mikolov Ilya Sutskever Kai Chen Gregory S. Corrado and Jeffrey Dean. 2013. Distributed Representations of Words and Phrases and their Compositionality. In NIPS. 3111--3119."},{"key":"e_1_3_2_2_10_1","volume-title":"Query-driven Active Surveying for Collective Classification. In Workshop on Mining and Learning with Graphs.","author":"Namata Galileo Mark","year":"2012","unstructured":"Galileo Mark Namata , Ben London , Lise Getoor , and Bert Huang . 2012 . Query-driven Active Surveying for Collective Classification. In Workshop on Mining and Learning with Graphs. Galileo Mark Namata, Ben London, Lise Getoor, and Bert Huang. 2012. Query-driven Active Surveying for Collective Classification. In Workshop on Mining and Learning with Graphs."},{"key":"e_1_3_2_2_11_1","volume-title":"Tu Dinh Nguyen, and Dinh Phung","author":"Nguyen Dai Quoc","year":"2020","unstructured":"Dai Quoc Nguyen , Tu Dinh Nguyen, and Dinh Phung . 2020 . A Self-Attention Network based Node Embedding Model. In ECML-PKDD. Dai Quoc Nguyen, Tu Dinh Nguyen, and Dinh Phung. 2020. A Self-Attention Network based Node Embedding Model. In ECML-PKDD."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"crossref","unstructured":"Bryan Perozzi Rami Al-Rfou and Steven Skiena. 2014. DeepWalk: Online Learning of Social Representations. In SIGKDD. 701--710.  Bryan Perozzi Rami Al-Rfou and Steven Skiena. 2014. DeepWalk: Online Learning of Social Representations. In SIGKDD. 701--710.","DOI":"10.1145\/2623330.2623732"},{"key":"e_1_3_2_2_13_1","unstructured":"Sara Sabour Nicholas Frosst and Geoffrey E Hinton. 2017. Dynamic routing between capsules. In NIPS. 3859--3869.  Sara Sabour Nicholas Frosst and Geoffrey E Hinton. 2017. Dynamic routing between capsules. In NIPS. 3859--3869."},{"key":"e_1_3_2_2_14_1","volume-title":"Collective classification in network data. AI magazine","author":"Sen Prithviraj","year":"2008","unstructured":"Prithviraj Sen , Galileo Namata , Mustafa Bilgic , Lise Getoor , Brian Galligher , and Tina Eliassi-Rad . 2008. Collective classification in network data. AI magazine , Vol. 29 , 3 ( 2008 ), 93. Prithviraj Sen, Galileo Namata, Mustafa Bilgic, Lise Getoor, Brian Galligher, and Tina Eliassi-Rad. 2008. Collective classification in network data. AI magazine, Vol. 29, 3 (2008), 93."},{"key":"e_1_3_2_2_15_1","unstructured":"Petar Velivc kovi\u0107 Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Li\u00f2 and Yoshua Bengio. 2018. Graph Attention Networks. In ICLR.  Petar Velivc kovi\u0107 Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Li\u00f2 and Yoshua Bengio. 2018. Graph Attention Networks. In ICLR."},{"key":"e_1_3_2_2_16_1","unstructured":"Zhilin Yang William W. Cohen and Ruslan Salakhutdinov. 2016. Revisiting Semi-supervised Learning with Graph Embeddings. In ICML. 40--48.  Zhilin Yang William W. Cohen and Ruslan Salakhutdinov. 2016. Revisiting Semi-supervised Learning with Graph Embeddings. In ICML. 40--48."},{"key":"e_1_3_2_2_17_1","volume-title":"Network representation learning: A survey","author":"Zhang Daokun","year":"2020","unstructured":"Daokun Zhang , Jie Yin , Xingquan Zhu , and Chengqi Zhang . 2020. Network representation learning: A survey . IEEE Transactions on Big Data ( 2020 ), 3--28. Daokun Zhang, Jie Yin, Xingquan Zhu, and Chengqi Zhang. 2020. Network representation learning: A survey. IEEE Transactions on Big Data (2020), 3--28."}],"event":{"name":"CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Virtual Event Ireland","acronym":"CIKM '20"},"container-title":["Proceedings of the 29th ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3417455","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3417455","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:02:42Z","timestamp":1750197762000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3417455"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":17,"alternative-id":["10.1145\/3340531.3417455","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3417455","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]},"assertion":[{"value":"2020-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}