How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation.

@inproceedings{cui-2022-graph, author = {Hejie Cui and Jiaying Lu and Yao Ge and Carl Yang}, editor = {Matthias Hagen and Suzan Verberne and Craig Macdonald and Christin Seifert and Krisztian Balog and Kjetil N{\o}rv{\aa}g and Vinay Setty}, title = {{How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation}}, booktitle = {{Advances in Information Retrieval - 44th European Conference on IR Research, ECIR 2022, Stavanger, Norway, April 10-14, 2022, Proceedings, Part II}}, series = {Lecture Notes in Computer Science}, volume = {13186}, pages = {75--83}, publisher = {Springer}, year = {2022}, url = {https://doi.org/10.1007/978-3-030-99739-7_9}, doi = {https://doi.org/10.1007/978-3-030-99739-7_9} }