{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,12]],"date-time":"2025-07-12T01:28:41Z","timestamp":1752283721636,"version":"3.28.0"},"reference-count":42,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,18]],"date-time":"2023-06-18T00:00:00Z","timestamp":1687046400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,6,18]]},"DOI":"10.1109\/ijcnn54540.2023.10191443","type":"proceedings-article","created":{"date-parts":[[2023,8,2]],"date-time":"2023-08-02T17:30:03Z","timestamp":1690997403000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["ReGRL: An Informative Graph Representation via Hierarchical Recursive Learning for Legal Case Recommendation"],"prefix":"10.1109","author":[{"given":"Xueyuan","family":"Chen","sequence":"first","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hang","family":"Yu","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Luo","family":"Xiangfeng","sequence":"additional","affiliation":[{"name":"School of Computer Engineering and Science, Shanghai University,Shanghai,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1162\/089976603321780317"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/3459637.3482115"},{"key":"ref12","article-title":"Laplacian eigenmaps and spectral techniques for embedding and clustering","volume":"14","author":"belkin","year":"2001","journal-title":"Advances in neural information processing systems"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411866"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1145\/3326362"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401969"},{"key":"ref36","article-title":"Simplifying graph convolutional networks","author":"wu","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref31","article-title":"graph2vec: Learning distributed representations of graphs","author":"narayanan","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/1376616.1376662"},{"key":"ref11","article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","author":"devlin","year":"2018","journal-title":"ArXiv Preprint"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-36718-3_1"},{"key":"ref10","article-title":"Distributed representations of sentences and documents","author":"le","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref32","article-title":"Graph Attention Networks","author":"veli?kovi?","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1390"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.coling-main.86"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6073"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3404835.3463250"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-38221-5_15"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2018.00113"},{"key":"ref18","article-title":"Semi-Supervised Classification with Graph Convolutional Networks","author":"kipf","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref24","article-title":"Neural message passing for quantum chemistry","author":"gilmer","year":"0","journal-title":"International Conference on Machine Learning"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2008\/10\/P10008"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/17.1.107"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-89689-0_33"},{"key":"ref20","article-title":"Inductive representation learning on large graphs","volume":"30","author":"hamilton","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/3469887"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/app12052531"},{"key":"ref22","article-title":"Sign: Scalable inception graph neural networks","author":"frasca","year":"2020","journal-title":"ArXiv Preprint"},{"key":"ref21","article-title":"GraphSAINT: Graph Sampling Based Inductive Learning Method","author":"zeng","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-37134-9_9"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/bti1007"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1021\/jm00106a046"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/0306-4573(88)90021-0"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.466"},{"key":"ref9","article-title":"Distributed representations of words and phrases and their compositionality","volume":"26","author":"mikolov","year":"2013","journal-title":"Advances in neural information processing systems"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/1980422.1980439"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.280"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3233\/JIFS-189871"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401191"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-naacl.170"}],"event":{"name":"2023 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2023,6,18]]},"location":"Gold Coast, Australia","end":{"date-parts":[[2023,6,23]]}},"container-title":["2023 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10190990\/10190992\/10191443.pdf?arnumber=10191443","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,21]],"date-time":"2023-08-21T17:44:27Z","timestamp":1692639867000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10191443\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6,18]]},"references-count":42,"URL":"https:\/\/doi.org\/10.1109\/ijcnn54540.2023.10191443","relation":{},"subject":[],"published":{"date-parts":[[2023,6,18]]}}}