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			<depositor_name>Institute for Advanced Materials Research Press</depositor_name>
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				<full_title>Journal of Computational and Data-Driven Materials Engineering</full_title>
				<abbrev_title>J. Comput. Data-Driven Mater. Eng.</abbrev_title>
				<issn>3149-9368</issn>
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				<publication_date>
					<year>2023</year>
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					<volume>2</volume>
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				<issue>1</issue>
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				<titles>
					<title>How Equivariance Reduces Sample Complexity in Materials GNNs: A Theoretical Bound</title>
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          					<person_name sequence="first" contributor_role="author">
            <given_name>Hiroshi</given_name>
            <surname>Nakamura</surname>
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            <given_name>Yuta</given_name>
            <surname>Kato</surname>
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								<publication_date>
					<year>2023</year>
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