{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:41:53Z","timestamp":1787017313128,"version":"build-2736575974"},"publisher-location":"New York, NY, USA","reference-count":15,"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"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,19]]},"DOI":"10.1145\/3340531.3412141","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T02:32:45Z","timestamp":1603074765000},"page":"1981-1984","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":10,"title":["Graph Unfolding Networks"],"prefix":"10.1145","author":[{"given":"Hao","family":"Chen","sequence":"first","affiliation":[{"name":"Beihang University, Tianjin, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenbing","family":"Huang","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yue","family":"Xu","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fuchun","family":"Sun","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhoujun","family":"Li","sequence":"additional","affiliation":[{"name":"Beihang University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_1_1","first-page":"942","volume-title":"ICML","author":"Chen Jianfei","year":"2018","unstructured":"Jianfei Chen , Jun Zhu , and Le Song . Stochastic training of graph convolutional networks with variance reduction . In ICML , pages 942 -- 950 , 2018 . Jianfei Chen, Jun Zhu, and Le Song. Stochastic training of graph convolutional networks with variance reduction. In ICML, pages 942--950, 2018."},{"key":"e_1_3_2_2_2_1","volume-title":"ICLR","author":"Chen Jie","year":"2018","unstructured":"Jie Chen , Tengfei Ma , and Cao Xiao . Fastgcn : fast learning with graph convolutional networks via importance sampling . ICLR , 2018 . Jie Chen, Tengfei Ma, and Cao Xiao. Fastgcn: fast learning with graph convolutional networks via importance sampling. ICLR, 2018."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330925"},{"key":"e_1_3_2_2_4_1","volume-title":"ICML","author":"Gilmer Justin","year":"2017","unstructured":"Justin Gilmer , Samuel S Schoenholz , Patrick F Riley , Oriol Vinyals , and George E Dahl . Neural message passing for quantum chemistry . In ICML , 2017 . Justin Gilmer, Samuel S Schoenholz, Patrick F Riley, Oriol Vinyals, and George E Dahl. Neural message passing for quantum chemistry. In ICML, 2017."},{"key":"e_1_3_2_2_5_1","first-page":"1024","volume-title":"NIPS","author":"Hamilton Will","year":"2017","unstructured":"Will Hamilton , Zhitao Ying , and Jure Leskovec . Inductive representation learning on large graphs . In NIPS , pages 1024 -- 1034 , 2017 . Will Hamilton, Zhitao Ying, and Jure Leskovec. Inductive representation learning on large graphs. In NIPS, pages 1024--1034, 2017."},{"key":"e_1_3_2_2_6_1","first-page":"4558","volume-title":"NIPS","author":"Huang Wenbing","year":"2018","unstructured":"Wenbing Huang , Tong Zhang , Yu Rong , and Junzhou Huang . Adaptive sampling towards fast graph representation learning . In NIPS , pages 4558 -- 4567 , 2018 . Wenbing Huang, Tong Zhang, Yu Rong, and Junzhou Huang. Adaptive sampling towards fast graph representation learning. In NIPS, pages 4558--4567, 2018."},{"key":"e_1_3_2_2_7_1","volume-title":"ICLR","author":"Kipf Thomas N","year":"2017","unstructured":"Thomas N Kipf and Max Welling . Semi-supervised classification with graph convolutional networks . ICLR , 2017 . Thomas N Kipf and Max Welling. Semi-supervised classification with graph convolutional networks. ICLR, 2017."},{"key":"e_1_3_2_2_8_1","first-page":"972","volume-title":"WWW","author":"Li Jia","year":"2019","unstructured":"Jia Li , Yu Rong , Hong Cheng , Helen Meng , Wen-bing Huang, and Junzhou Huang . Semi-supervised graph classification: A hierarchical graph perspective . In WWW , pages 972 -- 982 , 2019 . Jia Li, Yu Rong, Hong Cheng, Helen Meng, Wen-bing Huang, and Junzhou Huang. Semi-supervised graph classification: A hierarchical graph perspective. In WWW, pages 972--982, 2019."},{"key":"e_1_3_2_2_9_1","volume-title":"ICLR","author":"Rong Yu","year":"2020","unstructured":"Yu Rong , Wenbing Huang , Tingyang Xu , and Junzhou Huang . Dropedge : Towards the very deep graph convolutional networks for node classification . ICLR , 2020 . Yu Rong, Wenbing Huang, Tingyang Xu, and Junzhou Huang. Dropedge: Towards the very deep graph convolutional networks for node classification. ICLR, 2020."},{"key":"e_1_3_2_2_10_1","volume-title":"ICLR","author":"Petar Velivc","year":"2018","unstructured":"Petar Velivc kovi\u0107, Guillem Cucurull , Arantxa Casanova , Adriana Romero , Pietro Lio , and Yoshua Bengio . Graph attention networks . ICLR , 2018 . Petar Velivc kovi\u0107, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. Graph attention networks. ICLR, 2018."},{"key":"e_1_3_2_2_11_1","volume-title":"ICLR","author":"Xu Keyulu","year":"2019","unstructured":"Keyulu Xu , Weihua Hu , Jure Leskovec , and Stefanie Jegelka . How powerful are graph neural networks ? In ICLR , 2019 . Keyulu Xu, Weihua Hu, Jure Leskovec, and Stefanie Jegelka. How powerful are graph neural networks? In ICLR, 2019."},{"key":"e_1_3_2_2_12_1","first-page":"6410","volume-title":"NIPS","author":"You Jiaxuan","year":"2018","unstructured":"Jiaxuan You , Bowen Liu , Zhitao Ying , Vijay Pande , and Jure Leskovec . Graph convolutional policy network for goal-directed molecular graph generation . In NIPS , pages 6410 -- 6421 , 2018 . Jiaxuan You, Bowen Liu, Zhitao Ying, Vijay Pande, and Jure Leskovec. Graph convolutional policy network for goal-directed molecular graph generation. In NIPS, pages 6410--6421, 2018."},{"key":"e_1_3_2_2_13_1","volume-title":"NIPS","author":"Zaheer Manzil","year":"2017","unstructured":"Manzil Zaheer , Satwik Kottur , Siamak Ravanbakhsh , Barnabas Poczos , Russ R Salakhutdinov , and Alexander J Smola . Deep sets . In NIPS , 2017 . Manzil Zaheer, Satwik Kottur, Siamak Ravanbakhsh, Barnabas Poczos, Russ R Salakhutdinov, and Alexander J Smola. Deep sets. In NIPS, 2017."},{"key":"e_1_3_2_2_14_1","volume-title":"ICLR","author":"Zeng Hanqing","year":"2020","unstructured":"Hanqing Zeng , Hongkuan Zhou , Ajitesh Srivastava , Rajgopal Kannan , and Viktor Prasanna . Graphsaint : Graph sampling based inductive learning method . ICLR , 2020 . Hanqing Zeng, Hongkuan Zhou, Ajitesh Srivastava, Rajgopal Kannan, and Viktor Prasanna. Graphsaint: Graph sampling based inductive learning method. ICLR, 2020."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00719"}],"event":{"name":"CIKM '20: The 29th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Ireland","acronym":"CIKM '20","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 29th ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412141","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3412141","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:02:30Z","timestamp":1750183350000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3412141"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":15,"alternative-id":["10.1145\/3340531.3412141","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3412141","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"}}]}}