Built on

Goodman, L.A.: Snowball sampling. The annals of mathematical statistics pp. 148–170 (1961)
1961
Earlier work this paper cites.
Price, D.J.D.S.: Networks of scientific papers: The pattern of bibliographic references indicates the nature of the scientific research front. Science 149
1965
Earlier work this paper cites.
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of the 2008 ACM SIGMOD international conference on Management of data. pp. 1247–1250 (2008)
2008
Earlier work this paper cites.
Uzzi, B., Mukherjee, S., Stringer, M., Jones, B.: Atypical combinations and scientific impact. Science 342
2013
Earlier work this paper cites.
Vrandečić, D., Krötzsch, M.: Wikidata: a free collaborative knowledgebase. Communications of the ACM 57
2014
Earlier work this paper cites.
De Vaan, M., Stark, D., Vedres, B.: Game changer: The topology of creativity. American Journal of Sociology 120
2015
Earlier work this paper cites.
Trouillon, T., Welbl, J., Riedel, S., Gaussier, É., Bouchard, G.: Complex embeddings for simple link prediction. In: International conference on machine learning. pp. 2071–2080. PMLR (2016)
2016
Earlier work this paper cites.
Hope, T., Chan, J., Kittur, A., Shahaf, D.: Accelerating innovation through analogy mining. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. pp. 235–243 (2017)
2017
Earlier work this paper cites.
Nielsen, F.Å., Mietchen, D., Willighagen, E.: Scholia and scientometrics with wikidata. In: Scientometrics 2017. pp. 237–259 (November 2017). https://doi.org/10.1007/978-3-319-70407-4_36, https://arxiv.org/pdf/1703.04222
Original
2017
Earlier work this paper cites.
Bhagavatula, C., Feldman, S., Power, R., Ammar, W.: Content-based citation recommendation. arXiv preprint arXiv:1802.08301 (2018)
Original
2018
Earlier work this paper cites.
Jurgens, D., Kumar, S., Hoover, R., McFarland, D., Jurafsky, D.: Measuring the evolution of a scientific field through citation frames. Transactions of the Association for Computational Linguistics 6
2018
Earlier work this paper cites.

Similar

Beltagy, I., Lo, K., Cohan, A.: SciBERT: A pretrained language model for scientific text. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). pp. 3615–3620. Association for Computational Linguistics, Hong Kong, China (Nov 2019). https://doi.org/10.18653/v1/D19-1371, https://aclanthology.org/D19-1371
2019
Cited alongside, same era.
Cohan, A., Ammar, W., Van Zuylen, M., Cady, F.: Structural scaffolds for citation intent classification in scientific publications. arXiv preprint arXiv:1904.01608 (2019)
Original
2019
Cited alongside, same era.
Manghi, P., Bardi, A., Atzori, C., Baglioni, M., Manola, N., Schirrwagen, J., Principe, P.: The openaire research graph data model (Apr 2019). https://doi.org/10.5281/zenodo.2643199, https://doi.org/10.5281/zenodo.2643199
2019
Cited alongside, same era.
Sun, Z., Deng, Z.H., Nie, J.Y., Tang, J.: Rotate: Knowledge graph embedding by relational rotation in complex space. arXiv preprint arXiv:1902.10197 (2019)

Then

Hu, W., Fey, M., Zitnik, M., Dong, Y., Ren, H., Liu, B., Catasta, M., Leskovec, J.: Open graph benchmark: Datasets for machine learning on graphs. Advances in neural information processing systems 33
2020
Later among the works it cites.
Zheng, D., Song, X., Ma, C., Tan, Z., Ye, Z., Dong, J., Xiong, H., Zhang, Z., Karypis, G.: Dgl-ke: Training knowledge graph embeddings at scale. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 739–748 (2020)
Original
2020
Later among the works it cites.
Hu, W., Fey, M., Ren, H., Nakata, M., Dong, Y., Leskovec, J.: Ogb-lsc: A large-scale challenge for machine learning on graphs. arXiv preprint arXiv:2103.09430 (2021)
Original
2021
Later among the works it cites.
Berrebbi, D., Huynh, N., Balalau, O.: Graphcite: Citation intent classification in scientific publications via graph embeddings. In: Companion Proceedings of the Web Conference 2022. pp. 779–783 (2022)
2022
Later among the works it cites.

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2023

PubGraph: A Large-Scale Scientific Knowledge Graph

Ahrabian, Kian, Du, Xinwei, Myloth, Richard Delwin et al.

Understand

Research publications are the primary vehicle for sharing scientific progress in the form of new discoveries, methods, techniques, and insights.

Unfortunately, the lack of a large-scale, comprehensive, and easy-to-use resource capturing the myriad relationships between publications, their authors, and venues presents a barrier to applications for gaining a deeper understanding of science.
In this paper, we present PubGraph, a new resource for studying scientific progress that takes the form of a large-scale knowledge graph (KG) with more than 385M entities, 13B main edges, and 1.5B qualifier edges.
PubGraph is comprehensive and unifies data from various sources, including Wikidata, OpenAlex, and Semantic Scholar, using the Wikidata ontology.

Built on

Goodman, L.A.: Snowball sampling. The annals of mathematical statistics pp. 148–170 (1961)
1961
Earlier work this paper cites.
Price, D.J.D.S.: Networks of scientific papers: The pattern of bibliographic references indicates the nature of the scientific research front. Science 149
1965
Earlier work this paper cites.
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of the 2008 ACM SIGMOD international conference on Management of data. pp. 1247–1250 (2008)
2008
Earlier work this paper cites.
Uzzi, B., Mukherjee, S., Stringer, M., Jones, B.: Atypical combinations and scientific impact. Science 342
2013
Earlier work this paper cites.
Vrandečić, D., Krötzsch, M.: Wikidata: a free collaborative knowledgebase. Communications of the ACM 57
2014
Earlier work this paper cites.
De Vaan, M., Stark, D., Vedres, B.: Game changer: The topology of creativity. American Journal of Sociology 120
2015
Earlier work this paper cites.
Trouillon, T., Welbl, J., Riedel, S., Gaussier, É., Bouchard, G.: Complex embeddings for simple link prediction. In: International conference on machine learning. pp. 2071–2080. PMLR (2016)
2016
Earlier work this paper cites.
Hope, T., Chan, J., Kittur, A., Shahaf, D.: Accelerating innovation through analogy mining. In: Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. pp. 235–243 (2017)
2017
Earlier work this paper cites.
Nielsen, F.Å., Mietchen, D., Willighagen, E.: Scholia and scientometrics with wikidata. In: Scientometrics 2017. pp. 237–259 (November 2017). https://doi.org/10.1007/978-3-319-70407-4_36, https://arxiv.org/pdf/1703.04222
Original
2017
Earlier work this paper cites.
Bhagavatula, C., Feldman, S., Power, R., Ammar, W.: Content-based citation recommendation. arXiv preprint arXiv:1802.08301 (2018)
Original
2018
Earlier work this paper cites.
Jurgens, D., Kumar, S., Hoover, R., McFarland, D., Jurafsky, D.: Measuring the evolution of a scientific field through citation frames. Transactions of the Association for Computational Linguistics 6
2018
Earlier work this paper cites.

Similar

Beltagy, I., Lo, K., Cohan, A.: SciBERT: A pretrained language model for scientific text. In: Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). pp. 3615–3620. Association for Computational Linguistics, Hong Kong, China (Nov 2019). https://doi.org/10.18653/v1/D19-1371, https://aclanthology.org/D19-1371
2019
Cited alongside, same era.
Cohan, A., Ammar, W., Van Zuylen, M., Cady, F.: Structural scaffolds for citation intent classification in scientific publications. arXiv preprint arXiv:1904.01608 (2019)
Original
2019
Cited alongside, same era.
Manghi, P., Bardi, A., Atzori, C., Baglioni, M., Manola, N., Schirrwagen, J., Principe, P.: The openaire research graph data model (Apr 2019). https://doi.org/10.5281/zenodo.2643199, https://doi.org/10.5281/zenodo.2643199
2019
Cited alongside, same era.
Sun, Z., Deng, Z.H., Nie, J.Y., Tang, J.: Rotate: Knowledge graph embedding by relational rotation in complex space. arXiv preprint arXiv:1902.10197 (2019)

Then

Hu, W., Fey, M., Zitnik, M., Dong, Y., Ren, H., Liu, B., Catasta, M., Leskovec, J.: Open graph benchmark: Datasets for machine learning on graphs. Advances in neural information processing systems 33
2020
Later among the works it cites.
Zheng, D., Song, X., Ma, C., Tan, Z., Ye, Z., Dong, J., Xiong, H., Zhang, Z., Karypis, G.: Dgl-ke: Training knowledge graph embeddings at scale. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval. pp. 739–748 (2020)
Original
2020
Later among the works it cites.
Hu, W., Fey, M., Ren, H., Nakata, M., Dong, Y., Leskovec, J.: Ogb-lsc: A large-scale challenge for machine learning on graphs. arXiv preprint arXiv:2103.09430 (2021)
Original
2021
Later among the works it cites.
Berrebbi, D., Huynh, N., Balalau, O.: Graphcite: Citation intent classification in scientific publications via graph embeddings. In: Companion Proceedings of the Web Conference 2022. pp. 779–783 (2022)
2022
Later among the works it cites.

Beyond the bibliography

alphaXiv searches the wider corpus for related work and actual follow-ups.

Open on alphaXiv

alphaXiv is searching for related work…

Original

2019

Cited alongside, same era.

Traag, V.A., Waltman, L., Van Eck, N.J.: From louvain to leiden: guaranteeing well-connected communities. Scientific reports 9

2019

Cited alongside, same era.

Cohan, A., Feldman, S., Beltagy, I., Downey, D., Weld, D.: SPECTER: Document-level representation learning using citation-informed transformers. In: Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. pp. 2270–2282. Association for Computational Linguistics, Online (Jul 2020). https://doi.org/10.18653/v1/2020.acl-main.207, https://aclanthology.org/2020.acl-main.207

2020

Cited alongside, same era.

Cohan, A., Feldman, S., Beltagy, I., Downey, D., Weld, D.S.: Specter: Document-level representation learning using citation-informed transformers. arXiv preprint arXiv:2004.07180 (2020)

Original

2020

Cited alongside, same era.

Färber, M., Sampath, A.: Hybridcite: A hybrid model for context-aware citation recommendation. In: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020. pp. 117–126 (2020)

2020

Cited alongside, same era.

Gururangan, S., Marasović, A., Swayamdipta, S., Lo, K., Beltagy, I., Downey, D., Smith, N.A.: Don’t stop pretraining: adapt language models to domains and tasks. arXiv preprint arXiv:2004.10964 (2020)

Original

2020

Cited alongside, same era.

Hofstra, B., Kulkarni, V.V., Munoz-Najar Galvez, S., He, B., Jurafsky, D., McFarland, D.A.: The diversity–innovation paradox in science. Proceedings of the National Academy of Sciences 117

2020

Cited alongside, same era.

Kang, H.B., Qian, X., Hope, T., Shahaf, D., Chan, J., Kittur, A.: Augmenting scientific creativity with an analogical search engine. ACM Transactions on Computer-Human Interaction (2022)

2022