{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T01:20:15Z","timestamp":1773710415508,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,12,18]]},"DOI":"10.1145\/3703323.3703752","type":"proceedings-article","created":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T12:03:28Z","timestamp":1750853008000},"page":"152-159","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Imperfect Detection in Heterogeneous Complex Ecological Network: A GNN-based Approach"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8640-3745","authenticated-orcid":false,"given":"Moumita","family":"Ghosh","sequence":"first","affiliation":[{"name":"Dept of Computer Science and Engineering, Heritage Institute of Technology, Kolkata, West Bengal, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0992-6892","authenticated-orcid":false,"given":"Pritam","family":"Sil","sequence":"additional","affiliation":[{"name":"Dept of Computer Science and Engineering, IIT BOMBAY, Mumbai, Maharashtra, India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4880-6903","authenticated-orcid":false,"given":"Animesh","family":"Dutta","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, NIT Durgapur, Durgapur, West Bengal, India"}]}],"member":"320","published-online":{"date-parts":[[2025,6,25]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"crossref","unstructured":"Eric\u00a0C Chi and Tamara\u00a0G Kolda. 2012. On tensors sparsity and nonnegative factorizations. SIAM J. Matrix Anal. Appl. 33 4 (2012) 1272\u20131299.","DOI":"10.1137\/110859063"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","unstructured":"Tad Dallas John\u00a0M Drake and Andrew\u00a0W Park. 2017. Data and code to reproduce Dallas Park and Drake \"Predicting cryptic links in host-parasite networks\". (5 2017). 10.6084\/m9.figshare.4965038.v1","DOI":"10.6084\/m9.figshare.4965038.v1"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"crossref","unstructured":"Nur\u00a0Nasuha Daud Siti\u00a0Hafizah Ab\u00a0Hamid Muntadher Saadoon Firdaus Sahran and Nor\u00a0Badrul Anuar. 2020. Applications of link prediction in social networks: A review. Journal of Network and Computer Applications 166 (2020) 102716.","DOI":"10.1016\/j.jnca.2020.102716"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"crossref","unstructured":"Emily\u00a0B Dennis Byron\u00a0JT Morgan and Martin\u00a0S Ridout. 2015. Computational aspects of N-mixture models. Biometrics 71 1 (2015) 237\u2013246.","DOI":"10.1111\/biom.12246"},{"key":"e_1_3_3_2_6_2","unstructured":"Alex Fout Jonathon Byrd Basir Shariat and Asa Ben-Hur. 2017. Protein interface prediction using graph convolutional networks. Advances in neural information processing systems 30 (2017)."},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"crossref","unstructured":"Xiao Fu Eugene Seo Justin Clarke and Rebecca\u00a0A Hutchinson. 2019. Link prediction under imperfect detection: Collaborative filtering for ecological networks. IEEE Transactions on Knowledge and Data Engineering 33 8 (2019) 3117\u20133128.","DOI":"10.1109\/TKDE.2019.2962031"},{"key":"e_1_3_3_2_8_2","unstructured":"Brandon Greenwell Bradley Boehmke Jay Cunningham and GBM Developers. 2019. gbm: Generalized boosted regression models. R package version 2 5 (2019) 37\u201340."},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Takuo Hamaguchi Hidekazu Oiwa Masashi Shimbo and Yuji Matsumoto. 2017. Knowledge transfer for out-of-knowledge-base entities: A graph neural network approach. arXiv preprint arXiv:1706.05674 (2017).","DOI":"10.24963\/ijcai.2017\/250"},{"key":"e_1_3_3_2_10_2","unstructured":"William\u00a0L. Hamilton Rex Ying and Jure Leskovec. 2017. Inductive Representation Learning on Large Graphs. CoRR abs\/1706.02216 (2017). arXiv:1706.02216http:\/\/arxiv.org\/abs\/1706.02216"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.22"},{"key":"e_1_3_3_2_13_2","doi-asserted-by":"crossref","unstructured":"Liana\u00a0N Joseph Ch\u00e9 Elkin Tara\u00a0G Martin and Hugh\u00a0P Possingham. 2009. Modeling abundance using N-mixture models: the importance of considering ecological mechanisms. Ecological Applications 19 3 (2009) 631\u2013642.","DOI":"10.1890\/07-2107.1"},{"key":"e_1_3_3_2_14_2","doi-asserted-by":"crossref","unstructured":"Huaizhen Kou Hanwen Liu Yucong Duan Wenwen Gong Yanwei Xu Xiaolong Xu and Lianyong Qi. 2021. Building trust\/distrust relationships on signed social service network through privacy-aware link prediction process. Applied Soft Computing 100 (2021) 106942.","DOI":"10.1016\/j.asoc.2020.106942"},{"key":"e_1_3_3_2_15_2","unstructured":"Andy Liaw and Matthew Wiener. 2015. randomForest: Breiman and Cutler\u2019s random forests for classification and regression. R package version 4 1.1 (2015)."},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"crossref","unstructured":"Xuya Liu Shumei Wang Shujun Fu Li Yuliang Shouyi Liu and Weifeng Zhou. 2020. An efficient collaborative filtering method for image noise and artifact removal. IEEE Access 8 (2020) 124158\u2013124171.","DOI":"10.1109\/ACCESS.2020.3005024"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"crossref","unstructured":"Linyuan L\u00fc and Tao Zhou. 2011. Link prediction in complex networks: A survey. Physica A: statistical mechanics and its applications 390 6 (2011) 1150\u20131170.","DOI":"10.1016\/j.physa.2010.11.027"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Darryl\u00a0I MacKenzie James\u00a0D Nichols Gideon\u00a0B Lachman Sam Droege J Andrew\u00a0Royle and Catherine\u00a0A Langtimm. 2002. Estimating site occupancy rates when detection probabilities are less than one. Ecology 83 8 (2002) 2248\u20132255.","DOI":"10.1890\/0012-9658(2002)083[2248:ESORWD]2.0.CO;2"},{"key":"e_1_3_3_2_19_2","volume-title":"Occupancy estimation and modeling: inferring patterns and dynamics of species occurrence","author":"MacKenzie Darryl\u00a0I","year":"2017","unstructured":"Darryl\u00a0I MacKenzie, James\u00a0D Nichols, J\u00a0Andrew Royle, Kenneth\u00a0H Pollock, Larissa Bailey, and James\u00a0E Hines. 2017. Occupancy estimation and modeling: inferring patterns and dynamics of species occurrence. Elsevier."},{"key":"e_1_3_3_2_20_2","unstructured":"Ian Marschner Mark\u00a0W Donoghoe and Maintainer Mark\u00a0W Donoghoe. 2018. Package \u2018glm2\u2019. Journal 3 2 (2018) 12\u201315."},{"key":"e_1_3_3_2_21_2","unstructured":"Vera\u00a0Wilder Pfeiffer. 2017. Plant Pollinator data at HJ Andrews Experimental Forest 2011 to present. (2017)."},{"key":"e_1_3_3_2_22_2","doi-asserted-by":"crossref","unstructured":"Douglas\u00a0A Reynolds et\u00a0al. 2009. Gaussian mixture models. Encyclopedia of biometrics 741 659-663 (2009).","DOI":"10.1007\/978-0-387-73003-5_196"},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"crossref","unstructured":"J\u00a0Andrew Royle. 2004. N-mixture models for estimating population size from spatially replicated counts. Biometrics 60 1 (2004) 108\u2013115.","DOI":"10.1111\/j.0006-341X.2004.00142.x"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"crossref","unstructured":"Ling Wu Qishan Zhang Chi-Hua Chen Kun Guo and Deqin Wang. 2020. Deep learning techniques for community detection in social networks. IEEE Access 8 (2020) 96016\u201396026.","DOI":"10.1109\/ACCESS.2020.2996001"},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"publisher","unstructured":"Seyed\u00a0Sina Ziaee Hossein Rahmani and Mohammad Nazari. 2024. MoRGH: Movie Recommender System using GNNs on Heterogeneous Graphs. (2024). 10.21203\/rs.3.rs-3860094\/v1","DOI":"10.21203\/rs.3.rs-3860094\/v1"}],"event":{"name":"CODS-COMAD 2024: 8th International Conference on Data Science and Management of Data (12th ACM IKDD CODS and 30th COMAD)","location":"Jodhpur India","acronym":"CODS-COMAD Dec '24"},"container-title":["Proceedings of the 8th International Conference on Data Science and Management of Data (12th ACM IKDD CODS and 30th COMAD)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3703323.3703752","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,25]],"date-time":"2025-06-25T13:02:37Z","timestamp":1750856557000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3703323.3703752"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,18]]},"references-count":24,"alternative-id":["10.1145\/3703323.3703752","10.1145\/3703323"],"URL":"https:\/\/doi.org\/10.1145\/3703323.3703752","relation":{},"subject":[],"published":{"date-parts":[[2024,12,18]]},"assertion":[{"value":"2025-06-25","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}