{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T19:39:03Z","timestamp":1773776343401,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":11,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,3,11]],"date-time":"2022-03-11T00:00:00Z","timestamp":1646956800000},"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":[[2022,3,11]]},"DOI":"10.1145\/3529399.3529411","type":"proceedings-article","created":{"date-parts":[[2022,6,10]],"date-time":"2022-06-10T15:43:09Z","timestamp":1654875789000},"page":"68-73","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Prediction of Material Properties using Crystal Graph Convolutional Neural Networks"],"prefix":"10.1145","author":[{"given":"Harsha","family":"Durvasula","sequence":"first","affiliation":[{"name":"Computer Science, PES University, India"}]},{"given":"Sahana","family":"Vrinda Kakarla","sequence":"additional","affiliation":[{"name":"Computer Science, PES University, India"}]},{"given":"Anant","family":"Thazhemadam","sequence":"additional","affiliation":[{"name":"Computer Science, PES University, India"}]},{"given":"Reshma","family":"Roy","sequence":"additional","affiliation":[{"name":"Computer Science, PES University, India"}]},{"given":"Arti","family":"Arya","sequence":"additional","affiliation":[{"name":"Computer Science, PES University, India"}]}],"member":"320","published-online":{"date-parts":[[2022,6,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.120.145301"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Yao Ma Suhang Wang Charu C. Aggarwal and Jiliang Tang. Graph convolutional networks with eigenpooling.CoRR abs\/1904.13107 2019  Yao Ma Suhang Wang Charu C. Aggarwal and Jiliang Tang. Graph convolutional networks with eigenpooling.CoRR abs\/1904.13107 2019","DOI":"10.1145\/3292500.3330982"},{"key":"e_1_3_2_1_3_1","volume-title":"InInternational Conference on Learning Representations (ICLR)","author":"Thomas","year":"2017","unstructured":"Thomas N. Kipf and Max Welling. Semi-supervised classification with graph convolutional networks . InInternational Conference on Learning Representations (ICLR) , 2017 . Thomas N. Kipf and Max Welling. Semi-supervised classification with graph convolutional networks. InInternational Conference on Learning Representations (ICLR), 2017."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevMaterials.4.063801"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1021\/acs.chemmater.9b01294"},{"key":"e_1_3_2_1_6_1","volume-title":"Schnet: Acontinuous-filter convolutional neural network for modeling quantum interactions","author":"Sch \u0308utt Kristof T.","year":"2017","unstructured":"Kristof T. Sch \u0308utt , Pieter-Jan Kindermans , Huziel E. Sauceda , Stefan Chmiela , Alexandre Tkachenko , and Klaus-Robert M \u0308uller . Schnet: Acontinuous-filter convolutional neural network for modeling quantum interactions , 2017 . Kristof T. Sch \u0308utt, Pieter-Jan Kindermans, Huziel E. Sauceda, Stefan Chmiela, Alexandre Tkachenko, and Klaus-Robert M \u0308uller. Schnet: Acontinuous-filter convolutional neural network for modeling quantum interactions, 2017."},{"key":"e_1_3_2_1_7_1","volume-title":"MT-CGCNN: integrating crystal graph convolutional neuralnetwork with multitask learning for material property prediction.CoRR,abs\/1811.05660","author":"Sanyal Soumya","year":"2018","unstructured":"Soumya Sanyal , Janakiraman Balachandran , Naganand Yadati , Abhishek Kumar , Padmini Rajagopalan , Suchismita Sanyal , and Partha P. Talukdar . MT-CGCNN: integrating crystal graph convolutional neuralnetwork with multitask learning for material property prediction.CoRR,abs\/1811.05660 , 2018 Soumya Sanyal, Janakiraman Balachandran, Naganand Yadati, Abhishek Kumar, Padmini Rajagopalan, Suchismita Sanyal, and Partha P.Talukdar. MT-CGCNN: integrating crystal graph convolutional neuralnetwork with multitask learning for material property prediction.CoRR,abs\/1811.05660, 2018"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1039\/D0CP01474E"},{"key":"e_1_3_2_1_9_1","volume-title":"Filippo Maria Bianchi, and Cesare Alippi. Understanding pooling in graph neural networks","author":"Grattarola Daniele","year":"2021","unstructured":"Daniele Grattarola , Daniele Zambon , Filippo Maria Bianchi, and Cesare Alippi. Understanding pooling in graph neural networks , 2021 . Daniele Grattarola, Daniele Zambon, Filippo Maria Bianchi, and Cesare Alippi. Understanding pooling in graph neural networks, 2021."},{"key":"e_1_3_2_1_10_1","first-page":"2231","volume-title":"Rethinking poolingin graph neural networks","author":"Mesquita Diego","unstructured":"Diego Mesquita , Amauri Souza , and Samuel Kaski . Rethinking poolingin graph neural networks . In H. Larochelle, M. Ranzato, R. Hadsell,M. F. Balcan, and H. Lin, editors,Advances in Neural InformationProcessing Systems , volume 33 , pages 2220\u2013 2231 . Curran Associates,Inc., 202 Diego Mesquita, Amauri Souza, and Samuel Kaski. Rethinking poolingin graph neural networks. In H. Larochelle, M. Ranzato, R. Hadsell,M. F. Balcan, and H. Lin, editors,Advances in Neural InformationProcessing Systems, volume 33, pages 2220\u20132231. Curran Associates,Inc., 202"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1063\/1.4812323"}],"event":{"name":"ICMLT 2022: 2022 7th International Conference on Machine Learning Technologies","location":"Rome Italy","acronym":"ICMLT 2022"},"container-title":["2022 7th International Conference on Machine Learning Technologies (ICMLT)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3529399.3529411","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3529399.3529411","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:31:24Z","timestamp":1750188684000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3529399.3529411"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,11]]},"references-count":11,"alternative-id":["10.1145\/3529399.3529411","10.1145\/3529399"],"URL":"https:\/\/doi.org\/10.1145\/3529399.3529411","relation":{},"subject":[],"published":{"date-parts":[[2022,3,11]]},"assertion":[{"value":"2022-06-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}