{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,7]],"date-time":"2024-09-07T16:28:17Z","timestamp":1725726497432},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,12,17]],"date-time":"2022-12-17T00:00:00Z","timestamp":1671235200000},"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":[[2022,12,17]]},"DOI":"10.1109\/bigdata55660.2022.10020220","type":"proceedings-article","created":{"date-parts":[[2023,1,26]],"date-time":"2023-01-26T19:35:23Z","timestamp":1674761723000},"page":"2377-2382","source":"Crossref","is-referenced-by-count":1,"title":["SETN: Stock Embedding Enhanced with Textual and Network Information"],"prefix":"10.1109","author":[{"given":"Takehiro","family":"Takayanagi","sequence":"first","affiliation":[{"name":"The University of Tokyo School of Engineering,Tokyo,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hiroki","family":"Sakaji","sequence":"additional","affiliation":[{"name":"The University of Tokyo School of Engineering,Tokyo,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kiyoshi","family":"Izumi","sequence":"additional","affiliation":[{"name":"The University of Tokyo School of Engineering,Tokyo,Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"volume-title":"Proceedings of the 5th International Conference on Learning Representations","author":"Kipf","article-title":"Semi-Supervised Classification with Graph Convolutional Networks","key":"ref1"},{"volume-title":"Proceedings of the 6th International Conference on Learning Representations","author":"Velic\u0306kovi\u0107","article-title":"Graph attention networks","key":"ref2"},{"doi-asserted-by":"publisher","key":"ref3","DOI":"10.18653\/v1\/n19\u20131423"},{"volume-title":"Proceedings of the 8th International Conference on Learning Representations","author":"Liu","article-title":"RoBERTa: A robustly optimized bert pretraining approach","key":"ref4"},{"key":"ref5","first-page":"27","article-title":"Learning company embeddings from annual reports for fine-grained industry characterization","volume-title":"Proceedings of the Second Work-shop o Financial Technology and Natural Language Processing","author":"Ito"},{"doi-asserted-by":"publisher","key":"ref6","DOI":"10.18653\/v1\/2020.acl-main.307"},{"volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems","author":"Vaswani","article-title":"Attention is all you need","key":"ref7"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1145\/3490354.3494409"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1145\/3490354.3494381"},{"doi-asserted-by":"publisher","key":"ref10","DOI":"10.1109\/CCCI49893.2020.9256660"},{"doi-asserted-by":"publisher","key":"ref11","DOI":"10.1145\/3292500.3330833"},{"doi-asserted-by":"publisher","key":"ref12","DOI":"10.1145\/3269206.3269269"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/ICPR48806.2021.9412695"},{"key":"ref14","article-title":"Exploring graph neural networks for stock market predictions with rolling window analysis","author":"Matsunaga","year":"2019","journal-title":"Robust AI in Financial Services: Data, Fairness, Explainability, Trustworthiness, and Privacy"},{"doi-asserted-by":"publisher","key":"ref15","DOI":"10.1145\/3451397"},{"doi-asserted-by":"publisher","key":"ref16","DOI":"10.1145\/2939672.2939754"},{"doi-asserted-by":"publisher","key":"ref17","DOI":"10.24963\/ijcai.2020\/622"},{"doi-asserted-by":"publisher","key":"ref18","DOI":"10.18653\/v1\/2021.econlp-1.5"},{"key":"ref19","first-page":"9720","article-title":"Graph neural networks with adaptive residual","author":"Liu","year":"2021","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref20","first-page":"61","article-title":"Economic causal-chain search using text mining technology","volume-title":"the First Workshop on Financial Technology and Natural Language Processing In conjunction with the 28th International Joint Conference on Artificial Intelligence","author":"Kiyoshi"}],"event":{"name":"2022 IEEE International Conference on Big Data (Big Data)","start":{"date-parts":[[2022,12,17]]},"location":"Osaka, Japan","end":{"date-parts":[[2022,12,20]]}},"container-title":["2022 IEEE International Conference on Big Data (Big Data)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10020192\/10020156\/10020220.pdf?arnumber=10020220","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,2]],"date-time":"2024-03-02T15:20:38Z","timestamp":1709392838000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10020220\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,17]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/bigdata55660.2022.10020220","relation":{},"subject":[],"published":{"date-parts":[[2022,12,17]]}}}