{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:57:35Z","timestamp":1760245055074,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":33,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T00:00:00Z","timestamp":1597881600000},"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":[[2020,8,23]]},"DOI":"10.1145\/3394486.3403270","type":"proceedings-article","created":{"date-parts":[[2020,8,20]],"date-time":"2020-08-20T23:15:22Z","timestamp":1597965322000},"page":"2194-2202","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Learning Stable Graphs from Multiple Environments with Selection Bias"],"prefix":"10.1145","author":[{"given":"Yue","family":"He","sequence":"first","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peng","family":"Cui","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jianxin","family":"Ma","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Zou","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaowei","family":"Wang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongxia","family":"Yang","sequence":"additional","affiliation":[{"name":"Alibaba Group, Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philip S.","family":"Yu","sequence":"additional","affiliation":[{"name":"University of Illinois at Chicago, Chicago, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,8,20]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Friends and neighbors on the web. Social networks","author":"Adamic Lada A","year":"2003","unstructured":"Lada A Adamic and Eytan Adar . 2003. Friends and neighbors on the web. Social networks , Vol. 25 , 3 ( 2003 ), 211--230. Lada A Adamic and Eytan Adar. 2003. Friends and neighbors on the web. Social networks, Vol. 25, 3 (2003), 211--230."},{"key":"e_1_3_2_2_2_1","unstructured":"James Atwood and Don Towsley. [n.d.]. Diffusion-Convolutional Neural Networks. ( [n. d.]).  James Atwood and Don Towsley. [n.d.]. Diffusion-Convolutional Neural Networks. ( [n. d.])."},{"key":"e_1_3_2_2_3_1","volume-title":"Netgan: Generating graphs via random walks. arXiv preprint arXiv:1803.00816","author":"Bojchevski Aleksandar","year":"2018","unstructured":"Aleksandar Bojchevski , Oleksandr Shchur , Daniel Z\u00fcgner , and Stephan G\u00fcnnemann . 2018 . Netgan: Generating graphs via random walks. arXiv preprint arXiv:1803.00816 (2018). Aleksandar Bojchevski, Oleksandr Shchur, Daniel Z\u00fcgner, and Stephan G\u00fcnnemann. 2018. Netgan: Generating graphs via random walks. arXiv preprint arXiv:1803.00816 (2018)."},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1214\/14-AOS1260"},{"key":"e_1_3_2_2_5_1","volume-title":"Fastgcn: fast learning with graph convolutional networks via importance sampling. arXiv preprint arXiv:1801.10247","author":"Chen Jie","year":"2018","unstructured":"Jie Chen , Tengfei Ma , and Cao Xiao . 2018a. Fastgcn: fast learning with graph convolutional networks via importance sampling. arXiv preprint arXiv:1801.10247 ( 2018 ). Jie Chen, Tengfei Ma, and Cao Xiao. 2018a. Fastgcn: fast learning with graph convolutional networks via importance sampling. arXiv preprint arXiv:1801.10247 (2018)."},{"key":"e_1_3_2_2_6_1","volume-title":"Stochastic Training of Graph Convolutional Networks with Variance Reduction. In International Conference on Machine Learning. 942--950","author":"Chen Jianfei","year":"2018","unstructured":"Jianfei Chen , Jun Zhu , and Le Song . 2018 b. Stochastic Training of Graph Convolutional Networks with Variance Reduction. In International Conference on Machine Learning. 942--950 . Jianfei Chen, Jun Zhu, and Le Song. 2018b. Stochastic Training of Graph Convolutional Networks with Variance Reduction. In International Conference on Machine Learning. 942--950."},{"key":"e_1_3_2_2_7_1","unstructured":"Nicola De Cao and Thomas Kipf. [n.d.]. MolGAN: An implicit generative model for small molecular graphs. ( [n. d.]).  Nicola De Cao and Thomas Kipf. [n.d.]. MolGAN: An implicit generative model for small molecular graphs. ( [n. d.])."},{"key":"e_1_3_2_2_8_1","unstructured":"Micha\u00ebl Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. In Advances in neural information processing systems. 3844--3852.  Micha\u00ebl Defferrard Xavier Bresson and Pierre Vandergheynst. 2016. Convolutional neural networks on graphs with fast localized spectral filtering. In Advances in neural information processing systems. 3844--3852."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330726"},{"key":"e_1_3_2_2_10_1","unstructured":"Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680.  Ian Goodfellow Jean Pouget-Abadie Mehdi Mirza Bing Xu David Warde-Farley Sherjil Ozair Aaron Courville and Yoshua Bengio. 2014. Generative adversarial nets. In Advances in neural information processing systems. 2672--2680."},{"key":"e_1_3_2_2_11_1","volume-title":"Learning invariant feature spaces to transfer skills with reinforcement learning. arXiv preprint arXiv:1703.02949","author":"Gupta Abhishek","year":"2017","unstructured":"Abhishek Gupta , Coline Devin , YuXuan Liu , Pieter Abbeel , and Sergey Levine . 2017. Learning invariant feature spaces to transfer skills with reinforcement learning. arXiv preprint arXiv:1703.02949 ( 2017 ). Abhishek Gupta, Coline Devin, YuXuan Liu, Pieter Abbeel, and Sergey Levine. 2017. Learning invariant feature spaces to transfer skills with reinforcement learning. arXiv preprint arXiv:1703.02949 (2017)."},{"key":"e_1_3_2_2_12_1","unstructured":"Kilol Gupta Mukund Yelahanka Raghuprasad and Pankhuri Kumar. [n.d.]. A Hybrid Variational Autoencoder for Collaborative Filtering. ( [n. d.]).  Kilol Gupta Mukund Yelahanka Raghuprasad and Pankhuri Kumar. [n.d.]. A Hybrid Variational Autoencoder for Collaborative Filtering. ( [n. d.])."},{"volume-title":"Reducing the Dimensionality of Data with Neural Networks. Science","author":"Hinton","key":"e_1_3_2_2_13_1","unstructured":"Hinton and G. E. [n.d.]. Reducing the Dimensionality of Data with Neural Networks. Science , Vol. 313 , 5786 ( [n.,d.]), 504--507. Hinton and G. E. [n.d.]. Reducing the Dimensionality of Data with Neural Networks. Science, Vol. 313, 5786 ( [n.,d.]), 504--507."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01157"},{"key":"e_1_3_2_2_15_1","volume-title":"Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114","author":"Kingma Diederik P","year":"2013","unstructured":"Diederik P Kingma and Max Welling . 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 ( 2013 ). Diederik P Kingma and Max Welling. 2013. Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 (2013)."},{"key":"e_1_3_2_2_16_1","unstructured":"Thomas N Kipf and Max Welling. 2016. Semi-Supervised Classification with Graph Convolutional Networks. (2016).  Thomas N Kipf and Max Welling. 2016. Semi-Supervised Classification with Graph Convolutional Networks. (2016)."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220082"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3098032"},{"key":"e_1_3_2_2_19_1","volume-title":"International conference on machine learning. 1378--1387","author":"Kumar Ankit","year":"2016","unstructured":"Ankit Kumar , Ozan Irsoy , Peter Ondruska , Mohit Iyyer , James Bradbury , Ishaan Gulrajani , Victor Zhong , Romain Paulus , and Richard Socher . 2016 . Ask me anything: Dynamic memory networks for natural language processing . In International conference on machine learning. 1378--1387 . Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, and Richard Socher. 2016. Ask me anything: Dynamic memory networks for natural language processing. In International conference on machine learning. 1378--1387."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"e_1_3_2_2_21_1","volume-title":"International Conference on Machine Learning. 4212--4221","author":"Ma Jianxin","year":"2019","unstructured":"Jianxin Ma , Peng Cui , Kun Kuang , Xin Wang , and Wenwu Zhu . 2019 . Disentangled graph convolutional networks . In International Conference on Machine Learning. 4212--4221 . Jianxin Ma, Peng Cui, Kun Kuang, Xin Wang, and Wenwu Zhu. 2019. Disentangled graph convolutional networks. In International Conference on Machine Learning. 4212--4221."},{"key":"e_1_3_2_2_22_1","unstructured":"Tengfei Ma Jie Chen and Cao Xiao. 2018. Constrained generation of semantically valid graphs via regularizing variational autoencoders. In Advances in Neural Information Processing Systems. 7113--7124.  Tengfei Ma Jie Chen and Cao Xiao. 2018. Constrained generation of semantically valid graphs via regularizing variational autoencoders. In Advances in Neural Information Processing Systems. 7113--7124."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1142\/S0218213004001466"},{"key":"e_1_3_2_2_24_1","unstructured":"Adam Paszke Sam Gross Soumith Chintala Gregory Chanan Edward Yang Zachary DeVito Zeming Lin Alban Desmaison Luca Antiga and Adam Lerer. 2017. Automatic differentiation in PyTorch. In NIPS-W .  Adam Paszke Sam Gross Soumith Chintala Gregory Chanan Edward Yang Zachary DeVito Zeming Lin Alban Desmaison Luca Antiga and Adam Lerer. 2017. Automatic differentiation in PyTorch. In NIPS-W ."},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240577"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"crossref","unstructured":"Zheyan Shen Peng Cui Tong Zhang and Kun Kuang. 2019. Stable Learning via Sample Reweighting.  Zheyan Shen Peng Cui Tong Zhang and Kun Kuang. 2019. Stable Learning via Sample Reweighting.","DOI":"10.1609\/aaai.v34i04.6024"},{"key":"e_1_3_2_2_27_1","article-title":"A linear non-Gaussian acyclic model for causal discovery","author":"Shimizu Shohei","year":"2006","unstructured":"Shohei Shimizu , Patrik O Hoyer , Aapo Hyv\u00e4rinen , and Antti Kerminen . 2006 . A linear non-Gaussian acyclic model for causal discovery . Journal of Machine Learning Research 7 , Oct (2006), 2003?2030. Shohei Shimizu, Patrik O Hoyer, Aapo Hyv\u00e4rinen, and Antti Kerminen. 2006. A linear non-Gaussian acyclic model for causal discovery. Journal of Machine Learning Research 7, Oct (2006), 2003?2030.","journal-title":"Journal of Machine Learning Research 7"},{"key":"e_1_3_2_2_28_1","volume-title":"Graph Attention Networks. In International Conference on Learning Representations.","author":"Velickovic Petar","year":"2019","unstructured":"Petar Velickovic , Guillem Cucurull , Arantxa Casanova , Adriana Romero , Pietro Lio , and Yoshua Bengio . 2019 . Graph Attention Networks. In International Conference on Learning Representations. Petar Velickovic, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2019. Graph Attention Networks. In International Conference on Learning Representations."},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313562"},{"key":"e_1_3_2_2_30_1","volume-title":"Graphrnn: Generating realistic graphs with deep auto-regressive models. arXiv preprint arXiv:1802.08773(2018).","author":"You Jiaxuan","year":"2018","unstructured":"Jiaxuan You , Rex Ying , Xiang Ren , William L Hamilton , and Jure Leskovec . 2018 . Graphrnn: Generating realistic graphs with deep auto-regressive models. arXiv preprint arXiv:1802.08773(2018). Jiaxuan You, Rex Ying, Xiang Ren, William L Hamilton, and Jure Leskovec. 2018. Graphrnn: Generating realistic graphs with deep auto-regressive models. arXiv preprint arXiv:1802.08773(2018)."},{"key":"e_1_3_2_2_31_1","unstructured":"Kun Zhang and Aapo Hyvarinen. 2012. On the identifiability of the post-nonlinear causal model. arXiv preprint arXiv:1205.2599(2012).  Kun Zhang and Aapo Hyvarinen. 2012. On the identifiability of the post-nonlinear causal model. arXiv preprint arXiv:1205.2599(2012)."},{"key":"e_1_3_2_2_32_1","unstructured":"Xun Zheng Bryon Aragam Pradeep K Ravikumar and Eric P Xing. 2018. DAGs with NO TEARS: Continuous optimization for structure learning. In Advances in Neural Information Processing Systems. 9472?9483.  Xun Zheng Bryon Aragam Pradeep K Ravikumar and Eric P Xing. 2018. DAGs with NO TEARS: Continuous optimization for structure learning. In Advances in Neural Information Processing Systems. 9472?9483."},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220052"}],"event":{"name":"KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data"],"location":"Virtual Event CA USA","acronym":"KDD '20"},"container-title":["Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403270","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3394486.3403270","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:01:47Z","timestamp":1750197707000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3394486.3403270"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,20]]},"references-count":33,"alternative-id":["10.1145\/3394486.3403270","10.1145\/3394486"],"URL":"https:\/\/doi.org\/10.1145\/3394486.3403270","relation":{},"subject":[],"published":{"date-parts":[[2020,8,20]]},"assertion":[{"value":"2020-08-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}