{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,12]],"date-time":"2025-12-12T13:09:37Z","timestamp":1765544977349,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":73,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,21]],"date-time":"2024-10-21T00:00:00Z","timestamp":1729468800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/100004351","name":"Cisco Systems","doi-asserted-by":"publisher","id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/100004351","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/https:\/\/doi.org\/10.13039\/100000001","name":"NSF (National Science Foundation)","doi-asserted-by":"publisher","award":["OAC 2112606, OAC 2118240"],"award-info":[{"award-number":["OAC 2112606, OAC 2118240"]}],"id":[{"id":"10.13039\/https:\/\/doi.org\/10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,21]]},"DOI":"10.1145\/3627673.3679545","type":"proceedings-article","created":{"date-parts":[[2024,10,20]],"date-time":"2024-10-20T19:34:21Z","timestamp":1729452861000},"page":"1825-1835","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Reviving the Context: Camera Trap Species Classification as Link Prediction on Multimodal Knowledge Graphs"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7538-8474","authenticated-orcid":false,"given":"Vardaan","family":"Pahuja","sequence":"first","affiliation":[{"name":"The Ohio State University, Columbus, OH, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9244-4677","authenticated-orcid":false,"given":"Weidi","family":"Luo","sequence":"additional","affiliation":[{"name":"The Ohio State University, Columbus, OH, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4257-2704","authenticated-orcid":false,"given":"Yu","family":"Gu","sequence":"additional","affiliation":[{"name":"The Ohio State University, Columbus, OH, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3168-7963","authenticated-orcid":false,"given":"Cheng-Hao","family":"Tu","sequence":"additional","affiliation":[{"name":"The Ohio State University, Columbus, OH, USA"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-6408-9097","authenticated-orcid":false,"given":"Hong-You","family":"Chen","sequence":"additional","affiliation":[{"name":"The Ohio State University, Columbus, OH, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7610-1412","authenticated-orcid":false,"given":"Tanya","family":"Berger-Wolf","sequence":"additional","affiliation":[{"name":"The Ohio State University, Columbus, OH, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6532-6675","authenticated-orcid":false,"given":"Charles","family":"Stewart","sequence":"additional","affiliation":[{"name":"Rensselaer Polytechnic Institute, Troy, NY, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4359-6302","authenticated-orcid":false,"given":"Song","family":"Gao","sequence":"additional","affiliation":[{"name":"University of Wisconsin-Madison, Madison, WI, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1269-7231","authenticated-orcid":false,"given":"Wei-Lun","family":"Chao","sequence":"additional","affiliation":[{"name":"The Ohio State University, Columbus, OH, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6649-4766","authenticated-orcid":false,"given":"Yu","family":"Su","sequence":"additional","affiliation":[{"name":"The Ohio State University, Columbus, OH, USA"}]}],"member":"320","published-online":{"date-parts":[[2024,10,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1017\/S0376892919000298"},{"key":"e_1_3_2_1_2_1","unstructured":"Rosamund EA Almond Monique Grooten and T Peterson. 2020. Living Planet Report 2020-Bending the curve of biodiversity loss. World Wildlife Fund."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744683"},{"key":"e_1_3_2_1_4_1","volume-title":"The parahippocampal cortex mediates spatial and nonspatial associations. Cerebral cortex","author":"Aminoff Elissa","year":"2007","unstructured":"Elissa Aminoff, Nurit Gronau, and Moshe Bar. 2007. The parahippocampal cortex mediates spatial and nonspatial associations. Cerebral cortex, Vol. 17, 7 (2007), 1493--1503."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrn1476"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2016.7487721"},{"key":"e_1_3_2_1_7_1","volume-title":"The iWildCam 2020 Competition Dataset. arxiv","author":"Beery Sara","year":"2004","unstructured":"Sara Beery, Elijah Cole, and Arvi Gjoka. 2020. The iWildCam 2020 Competition Dataset. arxiv: 2004.10340 [cs.CV] https:\/\/arxiv.org\/abs\/2004.10340"},{"key":"e_1_3_2_1_8_1","volume-title":"Oisin Mac Aodha, and Pietro Perona","author":"Beery Sara","year":"2019","unstructured":"Sara Beery, Grant van Horn, Oisin Mac Aodha, and Pietro Perona. 2019. The iWildCam 2018 Challenge Dataset. arxiv: 1904.05986 [cs.CV] https:\/\/arxiv.org\/abs\/1904.05986"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01270-0_28"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01252"},{"key":"e_1_3_2_1_11_1","volume-title":"On a measure of divergence between two multinomial populations. Sankhy=a: the indian journal of statistics","author":"Bhattacharyya Anil","year":"1946","unstructured":"Anil Bhattacharyya. 1946. On a measure of divergence between two multinomial populations. Sankhy=a: the indian journal of statistics (1946), 401--406."},{"key":"e_1_3_2_1_12_1","volume-title":"Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems","author":"Bordes Antoine","year":"2013","unstructured":"Antoine Bordes, Nicolas Usunier, Alberto Garc\u00eda-Dur\u00e1n, Jason Weston, and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5--8, 2013, Lake Tahoe, Nevada, United States, Christopher J. C. Burges, L\u00e9on Bottou, Zoubin Ghahramani, and Kilian Q. Weinberger (Eds.). 2787--2795. https:\/\/proceedings.neurips.cc\/paper\/2013\/hash\/1cecc7a77928ca8133fa24680a88d2f9-Abstract.html"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/J.ECOINF.2023.102231"},{"key":"e_1_3_2_1_14_1","unstructured":"Ohio Supercomputer Center. 1987. Ohio Supercomputer Center. http:\/\/osc.edu\/ark:\/19495\/f5s1ph73"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.emnlp-main.812"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00033"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11573"},{"key":"e_1_3_2_1_18_1","unstructured":"Qishuai Diao Yi Jiang Bin Wen Jia Sun and Zehuan Yuan. 2022. MetaFormer: A Unified Meta Framework for Fine-Grained Recognition. arxiv: 2203.02751 [cs.CV] https:\/\/arxiv.org\/abs\/2203.02751"},{"key":"e_1_3_2_1_19_1","volume-title":"Kai MA Chan, et al.","author":"D\u00edaz Sandra","year":"2019","unstructured":"Sandra D\u00edaz, Josef Settele, Eduardo S Brond\u00edzio, Hien T Ngo, John Agard, Almut Arneth, Patricia Balvanera, Kate A Brauman, Stuart HM Butchart, Kai MA Chan, et al. 2019. Pervasive human-driven decline of life on Earth points to the need for transformative change. Science, Vol. 366, 6471 (2019), eaax3100."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623623"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1002\/lom3.10324"},{"key":"e_1_3_2_1_22_1","volume-title":"Conference on Uncertainty in Artificial Intelligence. http:\/\/auai.org\/uai2018\/proceedings\/papers\/149","author":"Garc\u00eda-Dur\u00e1n Alberto","year":"2018","unstructured":"Alberto Garc\u00eda-Dur\u00e1n and Mathias Niepert. 2018. KBlrn: End-to-End Learning of Knowledge Base Representations with Latent, Relational, and Numerical Features. In Conference on Uncertainty in Artificial Intelligence. http:\/\/auai.org\/uai2018\/proceedings\/papers\/149.pdf"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1002\/rse2.106"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00914"},{"key":"e_1_3_2_1_26_1","volume-title":"Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsm\u00e4ssan","author":"Hu Weihua","year":"2018","unstructured":"Weihua Hu, Gang Niu, Issei Sato, and Masashi Sugiyama. 2018. Does Distributionally Robust Supervised Learning Give Robust Classifiers?. In Proceedings of the 35th International Conference on Machine Learning, ICML 2018, Stockholmsm\u00e4ssan, Stockholm, Sweden, July 10--15, 2018 (Proceedings of Machine Learning Research, Vol. 80), Jennifer G. Dy and Andreas Krause (Eds.). PMLR, 2034--2042. http:\/\/proceedings.mlr.press\/v80\/hu18a.html"},{"key":"e_1_3_2_1_27_1","volume-title":"Machine Learning with Symbolic Methods and Knowledge Graphs co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD","author":"Jayathilaka Mirantha","year":"2021","unstructured":"Mirantha Jayathilaka, Tingting Mu, and Uli Sattler. 2021. Ontology-based n-ball Concept Embeddings Informing Few-shot Image Classification. In Machine Learning with Symbolic Methods and Knowledge Graphs co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Virtual, September 17, 2021 (CEUR Workshop Proceedings, Vol. 2997), Mehwish Alam, Mehdi Ali, Paul Groth, Pascal Hitzler, Jens Lehmann, Heiko Paulheim, Achim Rettinger, Harald Sack, Afshin Sadeghi, and Volker Tresp (Eds.). CEUR-WS.org. https:\/\/ceur-ws.org\/Vol-2997\/paper1.pdf"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.525"},{"key":"e_1_3_2_1_29_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7--9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1412.6980"},{"key":"e_1_3_2_1_30_1","volume-title":"Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18--24","volume":"5664","author":"Koh Pang Wei","year":"2021","unstructured":"Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton Earnshaw, Imran S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, and Percy Liang. 2021. WILDS: A Benchmark of in-the-Wild Distribution Shifts. In Proceedings of the 38th International Conference on Machine Learning, ICML 2021, 18--24 July 2021, Virtual Event (Proceedings of Machine Learning Research, Vol. 139), Marina Meila and Tong Zhang (Eds.). PMLR, 5637--5664. http:\/\/proceedings.mlr.press\/v139\/koh21a.html"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/S11263-016-0981--7"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3--319--10602--1_29"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/3543507.3583554"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.5555\/2886521.2886624"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00176"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.10"},{"key":"e_1_3_2_1_37_1","volume-title":"Nature","volume":"536","author":"Maxwell Sean L","year":"2016","unstructured":"Sean L Maxwell, Richard A Fuller, Thomas M Brooks, and James EM Watson. 2016. Biodiversity: The ravages of guns, nets and bulldozers. Nature, Vol. 536, 7615 (2016), 143--145."},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3--642--33765--9_59"},{"key":"e_1_3_2_1_39_1","volume-title":"Alex McInturff, Rauri CK Bowie, Ran Nathan, Stella X Yu, et al.","author":"Miao Zhongqi","year":"2019","unstructured":"Zhongqi Miao, Kaitlyn M Gaynor, Jiayun Wang, Ziwei Liu, Oliver Muellerklein, Mohammad Sadegh Norouzzadeh, Alex McInturff, Rauri CK Bowie, Ran Nathan, Stella X Yu, et al. 2019. Insights and approaches using deep learning to classify wildlife. Scientific reports, Vol. 9, 1 (2019), 8137."},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2053"},{"key":"e_1_3_2_1_42_1","volume-title":"Proceedings of the 28th International Conference on Machine Learning, ICML 2011","author":"Nickel Maximilian","year":"2011","unstructured":"Maximilian Nickel, Volker Tresp, and Hans-Peter Kriegel. 2011. A Three-Way Model for Collective Learning on Multi-Relational Data. In Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011, Lise Getoor and Tobias Scheffer (Eds.). Omnipress, 809--816. https:\/\/icml.cc\/2011\/papers\/438_icmlpaper.pdf"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1719367115"},{"volume-title":"Camera traps in animal ecology: methods and analyses","author":"O'Connell Allan F","key":"e_1_3_2_1_44_1","unstructured":"Allan F O'Connell, James D Nichols, and K Ullas Karanth. 2011. Camera traps in animal ecology: methods and analyses. Vol. 271. Springer."},{"key":"e_1_3_2_1_45_1","volume-title":"The role of context in object recognition. Trends in cognitive sciences","author":"Oliva Aude","year":"2007","unstructured":"Aude Oliva and Antonio Torralba. 2007. The role of context in object recognition. Trends in cognitive sciences, Vol. 11, 12 (2007), 520--527."},{"key":"e_1_3_2_1_46_1","doi-asserted-by":"publisher","DOI":"10.5281\/zenodo.3937751"},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3583780.3614769"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.17159\/sajs.2021\/8134"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1359"},{"key":"e_1_3_2_1_50_1","volume-title":"Attentional-Biased Stochastic Gradient Descent. Transactions on Machine Learning Research","author":"Qi Qi","year":"2023","unstructured":"Qi Qi, Yi Xu, Wotao Yin, Rong Jin, and Tianbao Yang. 2023. Attentional-Biased Stochastic Gradient Descent. Transactions on Machine Learning Research (2023). https:\/\/openreview.net\/forum?id=B0WYWvVA2r"},{"key":"e_1_3_2_1_51_1","volume-title":"International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=BkxSmlBFvr","author":"Ruffinelli Daniel","year":"2020","unstructured":"Daniel Ruffinelli, Samuel Broscheit, and Rainer Gemulla. 2020. You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=BkxSmlBFvr"},{"key":"e_1_3_2_1_52_1","first-page":"1","article-title":"A Deep Active Learning System for Species Identification and Counting in Camera Trap Images","volume":"12","author":"Norouzzadeh Mohammad Sadegh","year":"2020","unstructured":"Mohammad Sadegh Norouzzadeh, Dan Morris, Sara Beery, Neel Joshi, Nebojsa Jojic, and Jeff Clune. 2020. A Deep Active Learning System for Species Identification and Counting in Camera Trap Images. Methods in Ecology and Evolution, Vol. 12, 1 (December 2020), 150--161. https:\/\/www.microsoft.com\/en-us\/research\/publication\/a-deep-active-learning-system-for-species-identification-and-counting-in-camera-trap-images\/","journal-title":"Methods in Ecology and Evolution"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-long.201"},{"key":"e_1_3_2_1_54_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-93417-4_38"},{"key":"e_1_3_2_1_55_1","volume-title":"Three critical factors affecting automated image species recognition performance for camera traps. Ecology and evolution","author":"Schneider Stefan","year":"2020","unstructured":"Stefan Schneider, Saul Greenberg, Graham W Taylor, and Stefan C Kremer. 2020. Three critical factors affecting automated image species recognition performance for camera traps. Ecology and evolution, Vol. 10, 7 (2020), 3503--3517."},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"publisher","DOI":"10.1109\/CRV.2018.00052"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_58_1","volume-title":"Gradient Matching for Domain Generalization. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=vDwBW49HmO","author":"Shi Yuge","year":"2022","unstructured":"Yuge Shi, Jeffrey Seely, Philip Torr, Siddharth N, Awni Hannun, Nicolas Usunier, and Gabriel Synnaeve. 2022. Gradient Matching for Domain Generalization. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=vDwBW49HmO"},{"key":"e_1_3_2_1_59_1","volume-title":"3rd International Conference on Learning Representations, ICLR","author":"Simonyan Karen","year":"2015","unstructured":"Karen Simonyan and Andrew Zisserman. 2015. Very Deep Convolutional Networks for Large-Scale Image Recognition. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7--9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1409.1556"},{"key":"e_1_3_2_1_60_1","volume-title":"BioCLIP: A Vision Foundation Model for the Tree of Life. In 2024 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2024","author":"Stevens Samuel","year":"2024","unstructured":"Samuel Stevens, Jiaman Wu, Matthew J Thompson, Elizabeth G Campolongo, Chan Hee Song, David Edward Carlyn, Li Dong, Wasila M Dahdul, Charles Stewart, Tanya Berger-Wolf, Wei-Lun Chao, and Yu Su. 2024. BioCLIP: A Vision Foundation Model for the Tree of Life. In 2024 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2024, Seattle, WA, USA, June 17--21, 2024. Computer Vision Foundation \/ IEEE Computer Society, 19412--19424. https:\/\/openaccess.thecvf.com\/content\/CVPR2024\/html\/Stevens_BioCLIP_A_Vision_Foundation_Model_for_the_Tree_of_Life_CVPR_2024_paper.html"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"publisher","DOI":"10.1007\/978--3--319--49409--8_35"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_63_1","doi-asserted-by":"crossref","unstructured":"Michael A Tabak Mohammad S Norouzzadeh David W Wolfson Erica J Newton Raoul K Boughton Jacob S Ivan Eric A Odell Eric S Newkirk Reesa Y Conrey Jennifer Stenglein et al. 2020. Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2. Ecology and evolution Vol. 10 19 (2020) 10374--10383.","DOI":"10.1002\/ece3.6692"},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"publisher","DOI":"10.1111\/2041-210X.13120"},{"key":"e_1_3_2_1_65_1","volume-title":"Composition-based Multi-Relational Graph Convolutional Networks. In 8th International Conference on Learning Representations, ICLR 2020","author":"Vashishth Shikhar","year":"2020","unstructured":"Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, and Partha P. Talukdar. 2020. Composition-based Multi-Relational Graph Convolutional Networks. In 8th International Conference on Learning Representations, ICLR 2020, Addis Ababa, Ethiopia, April 26--30, 2020. OpenReview.net. https:\/\/openreview.net\/forum?id=BylA_C4tPr"},{"key":"e_1_3_2_1_66_1","volume-title":"Simon N Stuart, and Rashila Tong.","author":"Vi\u00e9 Jean-Christophe","year":"2009","unstructured":"Jean-Christophe Vi\u00e9, Craig Hilton-Taylor, Caroline Pollock, James Ragle, Jane Smart, Simon N Stuart, and Rashila Tong. 2009. The IUCN Red List: a key conservation tool. Wildlife in a changing world--An analysis of the 2008 IUCN Red List of Threatened Species (2009), 1."},{"key":"e_1_3_2_1_67_1","series-title":"WWF conservation technology series","volume-title":"Camera-trapping for conservation: a guide to best-practices","author":"Wearn OR","year":"2017","unstructured":"OR Wearn and P Glover-Kapfer. 2017. Camera-trapping for conservation: a guide to best-practices. WWF conservation technology series, Vol. 1, 1 (2017), 181."},{"key":"e_1_3_2_1_68_1","doi-asserted-by":"publisher","DOI":"10.1111\/1365-2656.12780"},{"key":"e_1_3_2_1_69_1","volume-title":"Usability, Applicability an IOS Press Journal","author":"Wilcke Xander","year":"2021","unstructured":"Xander Wilcke, Peter Bloem, Victor de Boer, and Rein van 't Veer. 2021. End-to-End Learning on Multimodal Knowledge Graphs. Semantic Web -- Interoperability, Usability, Applicability an IOS Press Journal (2021). https:\/\/www.semantic-web-journal.net\/content\/end-end-learning-multimodal-knowledge-graphs"},{"key":"e_1_3_2_1_70_1","volume-title":"3rd International Conference on Learning Representations, ICLR","author":"Yang Bishan","year":"2015","unstructured":"Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, and Li Deng. 2015. Embedding Entities and Relations for Learning and Inference in Knowledge Bases. In 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7--9, 2015, Conference Track Proceedings, Yoshua Bengio and Yann LeCun (Eds.). http:\/\/arxiv.org\/abs\/1412.6575"},{"key":"e_1_3_2_1_71_1","volume-title":"KG-BERT: BERT for Knowledge Graph Completion. arxiv","author":"Yao Liang","year":"1909","unstructured":"Liang Yao, Chengsheng Mao, and Yuan Luo. 2019. KG-BERT: BERT for Knowledge Graph Completion. arxiv: 1909.03193 [cs.CL] https:\/\/arxiv.org\/abs\/1909.03193"},{"key":"e_1_3_2_1_72_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449925"},{"key":"e_1_3_2_1_73_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01616"}],"event":{"name":"CIKM '24: The 33rd ACM International Conference on Information and Knowledge Management","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Boise ID USA","acronym":"CIKM '24"},"container-title":["Proceedings of the 33rd ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679545","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3627673.3679545","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:58:22Z","timestamp":1750294702000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3627673.3679545"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,21]]},"references-count":73,"alternative-id":["10.1145\/3627673.3679545","10.1145\/3627673"],"URL":"https:\/\/doi.org\/10.1145\/3627673.3679545","relation":{},"subject":[],"published":{"date-parts":[[2024,10,21]]},"assertion":[{"value":"2024-10-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}