Zeng, L., Zou, L., & Ozsu, T. (2023). SGSI - A Scalable GPU-Friendly Subgraph Isomorphism Algorithm IEEE Transactions on Knowledge and Data Engineering (TKDE), 35, 11899-11916. https://doi.org/10.1109/TKDE.2022.3230744
References
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2023
Lin, J., & Teofili, T. (2023). Searching Dense Representations With Inverted Indexes ArXiv, abs/2312.01556. https://doi.org/10.48550/ARXIV.2312.01556
Ilyas, I., Lacerda, J. P., Li, Y., Minhas, U. F., Mousavi, A., Pound, J., … Sumanth, C. (2023). Growing and Serving Large Open-Domain Knowledge Graphs ArXiv, abs/2305.09464. https://doi.org/10.48550/arXiv.2305.09464
Pradeep, R., Hui, K., Gupta, J., Lelkes, A. am D., Zhuang, H., Lin, J., … Tran, V. Q. (2023). How Does Generative Retrieval Scale to Millions of Passages? Presented at the How Does Generative Retrieval Scale to Millions of Passages? conference. Retrieved from https://aclanthology.org/2023.emnlp-main.83
Thakur, N., Ni, J., Abrego, G. H. andez \, Wieting, J., Lin, J., & Cer, D. (2023). Leveraging LLMs for Synthesizing Training Data Across Many Languages In Multilingual Dense Retrieval ArXiv, abs/2311.05800. https://doi.org/10.48550/ARXIV.2311.05800
Kamphuis, C., Lin, A., Yang, S., Lin, J., de Vries, A. P., & Hasibi, F. (2023). MMEAD: MS MARCO Entity Annotations and Disambiguations ArXiv, abs/2309.07574. https://doi.org/10.48550/arXiv.2309.07574
Ilyas, I., Lacerda, J. P., Li, Y., Minhas, U. F., Mousavi, A., Pound, J., … Sumanth, C. (2023). Growing and Serving Large Open-Domain Knowledge Graphs ArXiv, abs/2305.09464. https://doi.org/10.48550/arXiv.2305.09464
Hildred, J., Abebe, M., & Daudjee, K. (2023). Caerus: Low-Latency Distributed Transactions for Geo-Replicated Systems Proceedings of the VLDB Endowment (PVLDB), 17, 469-482. Retrieved from https://www.vldb.org/pvldb/vol17/p469-hildred.pdf
Mackenzie, J., Trotman, A., & Lin, J. (2023). Efficient Document-at-a-Time and Score-at-a-Time Query Evaluation For Learned Sparse Representations ACM Transactions on Information Systems (TOIS), 41, 1-96. https://doi.org/10.1145/3576922
Usta, A., & Salihoglu, S. (2023). To Join or Not to Join: An Analysis on the Usefulness of Joining Tables In Open Government Data Portals Presented at the To Join or Not to Join: An Analysis on the Usefulness of Joining Tables In Open Government Data Portals conference. Retrieved from https://ceur-ws.org/Vol-3462/TADA5.pdf