```bibtex
@misc{shen2024temporal,
  author       = {Shen, Junhao and others},
  title        = {Temporal graph neural network-powered paper recommendation on dynamic citation networks},
  howpublished = {Preprint at \url{https://arxiv.org/abs/2408.15371}},
  year         = {2024}
}

@article{aman2025investigating,
  author  = {Aman, Valeria and Gl{\"a}ser, Jochen},
  title   = {Investigating knowledge flows in scientific communities: the potential of bibliometric methods},
  journal = {Minerva},
  volume  = {63},
  number  = {1},
  pages   = {155--182},
  year    = {2025}
}

@article{cunningham2025knowledge,
  author  = {Cunningham, Eoghan and Greene, Derek},
  title   = {Knowledge transfer, knowledge gaps, and knowledge silos in citation networks},
  journal = {PLOS ONE},
  volume  = {20},
  number  = {8},
  pages   = {e0329302},
  year    = {2025}
}

@article{garfield1955citation,
  author  = {Garfield, Eugene},
  title   = {Citation indexes for science: a new dimension in documentation through association of ideas},
  journal = {Science},
  volume  = {122},
  number  = {3159},
  pages   = {108--111},
  year    = {1955}
}

@article{hirsch2005index,
  author  = {Hirsch, Jorge E.},
  title   = {An index to quantify an individual's scientific research output},
  journal = {Proc. Natl Acad. Sci. USA},
  volume  = {102},
  number  = {46},
  pages   = {16569--16572},
  year    = {2005}
}

@article{garfield1972citation,
  author  = {Garfield, Eugene},
  title   = {Citation analysis as a tool in journal evaluation: journals can be ranked by frequency and impact of citations for science policy studies},
  journal = {Science},
  volume  = {178},
  number  = {4060},
  pages   = {471--479},
  year    = {1972}
}

@article{bezerra2026leveraging,
  author  = {Bezerra, Davi A. and Silva, Filipi N. and Amancio, Diego R.},
  title   = {Leveraging {GANs} for citation intent classification and its impact on citation network analysis},
  journal = {J. Inform.},
  volume  = {20},
  number  = {2},
  pages   = {101791},
  year    = {2026}
}

@misc{li2025distinguishing,
  author       = {Li, Lu and Wan, Yun and Xiao, Feng},
  title        = {Distinguishing true influence from hyperprolificity with citation distance},
  howpublished = {Preprint at \url{https://arxiv.org/abs/2506.03527}},
  year         = {2025}
}

@inproceedings{cohan2019structural,
  author    = {Cohan, Arman and Ammar, Waleed and Van Zuylen, Madeleine and Cady, Field},
  title     = {Structural scaffolds for citation intent classification in scientific publications},
  booktitle = {Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
  pages     = {3586--3596},
  year      = {2019}
}

@inproceedings{zhang2024comprehensive,
  author    = {Zhang, Yu and others},
  title     = {A comprehensive survey of scientific large language models and their applications in scientific discovery},
  booktitle = {Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing},
  pages     = {8783--8817},
  year      = {2024}
}

@inproceedings{beltagy2019scibert,
  author    = {Beltagy, Iz and Lo, Kyle and Cohan, Arman},
  title     = {{SciBERT}: a pretrained language model for scientific text},
  booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing},
  pages     = {3615--3620},
  year      = {2019}
}

@inproceedings{cohan2020specter,
  author    = {Cohan, Arman and Feldman, Sergey and Beltagy, Iz and Downey, Doug and Weld, Daniel S.},
  title     = {{SPECTER}: document-level representation learning using citation-informed transformers},
  booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics},
  pages     = {2270--2282},
  year      = {2020}
}

@article{tobaly2025ai,
  author  = {Tobaly, Lior and Zalevsky, Zeev},
  title   = {{AI}-driven prediction of scholarly article influence},
  journal = {IEEE Access},
  volume  = {13},
  pages   = {217675--217691},
  year    = {2025}
}

@inproceedings{ostendorff2020aspect,
  author    = {Ostendorff, Malte and Ruas, Terry and Blume, Till and Gipp, Bela and Rehm, Georg},
  title     = {Aspect-based document similarity for research papers},
  booktitle = {Proceedings of the 28th International Conference on Computational Linguistics},
  pages     = {6194--6206},
  year      = {2020}
}

@article{liang2026citation,
  author  = {Liang, Zhentao and van Eck, Nees Jan and Wu, Xuehua and Mao, Jin and Li, Gang},
  title   = {Citation importance-aware document representation learning for large-scale science mapping},
  journal = {Inform. Process. Manag.},
  volume  = {63},
  number  = {3},
  pages   = {104557},
  year    = {2026}
}

@article{bing2023heterogeneous,
  author  = {Bing, Rui and others},
  title   = {Heterogeneous graph neural networks analysis: a survey of techniques, evaluations and applications},
  journal = {Artif. Intell. Rev.},
  volume  = {56},
  number  = {8},
  year    = {2023}
}

@article{lu2025survey,
  author  = {Lu, Haoran and others},
  title   = {A survey of graph neural networks and their industrial applications},
  journal = {Neurocomputing},
  volume  = {614},
  pages   = {128761},
  year    = {2025}
}

@article{kumar2022influence,
  author  = {Kumar, Sanjay and Mallik, Abhishek and Khetarpal, Anavi and Panda, Bhawani Sankar},
  title   = {Influence maximization in social networks using graph embedding and graph neural network},
  journal = {Inf. Sci.},
  volume  = {607},
  pages   = {1617--1636},
  year    = {2022}
}

@inproceedings{cummings2020structured,
  author    = {Cummings, Daniel and Nassar, Marcel},
  title     = {Structured citation trend prediction using graph neural networks},
  booktitle = {ICASSP 2020--2020 IEEE International Conference on Acoustics, Speech and Signal Processing},
  pages     = {3897--3901},
  year      = {2020}
}

@inproceedings{feng2024influence,
  author    = {Feng, Yuting and Tan, Vincent Y. F. and Cautis, Bogdan},
  title     = {Influence maximization via graph neural bandits},
  booktitle = {Proceedings of the 30th {ACM SIGKDD} Conference on Knowledge Discovery and Data Mining},
  pages     = {771--781},
  year      = {2024}
}

@article{liu2024influence,
  author  = {Liu, Wei and Wang, Saiwei and Ding, Jiayi},
  title   = {Influence maximization based on adaptive graph convolution neural network in social networks},
  journal = {Electronics},
  volume  = {13},
  number  = {16},
  pages   = {3110},
  year    = {2024}
}

@article{caruso2026extending,
  author  = {Caruso, Alessandro and others},
  title   = {Extending the range of graph neural networks with global encodings},
  journal = {Nat. Commun.},
  volume  = {17},
  number  = {1},
  pages   = {1855},
  year    = {2026}
}

@article{wang2026temporal,
  author  = {Wang, Yong and Alawad, Mohamad A. and Alfilh, Raed H. C. and Singh Sawaran Singh, Narinderjit},
  title   = {Temporal influence maximization via continuous-time graph neural networks and deep reinforcement learning},
  journal = {Sci. Rep.},
  year    = {2026}
}

@article{katsman2026revisiting,
  author  = {Katsman, Isay and Lou, Ethan and Gilbert, Anna},
  title   = {Revisiting graph learning benchmarks: when is the graph actually necessary?},
  journal = {Neural Process. Lett.},
  year    = {2026}
}

@article{shi2018heterogeneous,
  author  = {Shi, Chuan and Hu, Binbin and Zhao, Wayne Xin and Yu, Philip S.},
  title   = {Heterogeneous information network embedding for recommendation},
  journal = {IEEE Trans. Knowl. Data Eng.},
  volume  = {31},
  number  = {2},
  pages   = {357--370},
  year    = {2018}
}

@article{jeong2020,
  author  = {Jeong, Chanwoo and Jang, Sion and Park, Eunjeong and Choi, Sungchul},
  title   = {A context-aware citation recommendation model with {BERT} and graph convolutional networks},
  journal = {Scientometrics},
  volume  = {124},
  number  = {3},
  pages   = {1907--1922},
  year    = {2020}
}

@article{huang2025efficient,
  author  = {Huang, Zhenhua and others},
  title   = {An efficient community-aware pre-training method for graph neural networks},
  journal = {Pattern Recogn.},
  pages   = {112340},
  year    = {2025}
}

@article{gao2021,
  author  = {Gao, Weiqi and Huang, Hao},
  title   = {A gating context-aware text classification model with {BERT} and graph convolutional networks},
  journal = {J. Intell. Fuzzy Syst.},
  volume  = {40},
  number  = {3},
  pages   = {4331--4343},
  year    = {2021}
}

@article{xue2023re,
  author  = {Xue, Zhikai and others},
  title   = {Re-examining lexical and semantic attention: dual-view graph convolutions enhanced {BERT} for academic paper rating},
  journal = {Inform. Process. Manag.},
  volume  = {60},
  number  = {2},
  pages   = {103216},
  year    = {2023}
}

@inproceedings{devlin2019,
  author    = {Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and Toutanova, Kristina},
  title     = {{BERT}: pre-training of deep bidirectional transformers for language understanding},
  booktitle = {Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)},
  editor    = {Burstein, Jill and Doran, Christy and Solorio, Thamar},
  publisher = {Association for Computational Linguistics},
  address   = {Minneapolis, Minnesota},
  pages     = {4171--4186},
  year      = {2019},
  doi       = {10.18653/v1/N19-1423}
}

@inproceedings{rostam2024fine,
  author    = {Rostam, Zhyar Rzgar K. and Kert{\'e}sz, G{\'a}bor},
  title     = {Fine-tuning large language models for scientific text classification: a comparative study},
  booktitle = {2024 IEEE 6th International Symposium on Logistics and Industrial Informatics},
  pages     = {000233--000238},
  year      = {2024}
}

@article{lee2020biobert,
  author  = {Lee, Jinhyuk and others},
  title   = {{BioBERT}: a pre-trained biomedical language representation model for biomedical text mining},
  journal = {Bioinformatics},
  volume  = {36},
  number  = {4},
  pages   = {1234--1240},
  year    = {2020}
}

@inproceedings{lu2024heterogeneous,
  author    = {Lu, Zhiyuan and Fang, Yuan and Yang, Cheng and Shi, Chuan},
  title     = {Heterogeneous graph transformer with poly-tokenization},
  booktitle = {Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence},
  pages     = {2234--2242},
  year      = {2024}
}

@inproceedings{vaswani2017attention,
  author    = {Vaswani, Ashish and others},
  title     = {Attention is all you need},
  booktitle = {Advances in Neural Information Processing Systems},
  volume    = {30},
  year      = {2017}
}

@inproceedings{petar2018,
  author    = {Veli{\v{c}}kovi{\'c}, Petar and others},
  title     = {Graph attention networks},
  booktitle = {International Conference on Learning Representations},
  year      = {2018}
}

@article{2000cora,
  author  = {McCallum, Andrew K. and Nigam, Kamal and Rennie, Jason and Seymore, Kristie},
  title   = {Automating the construction of internet portals with machine learning},
  journal = {Inf. Retr.},
  volume  = {3},
  number  = {2},
  pages   = {127--163},
  year    = {2000}
}

@article{2008Pubmed,
  author  = {Sen, Prithviraj and others},
  title   = {Collective classification in network data},
  journal = {AI Mag.},
  volume  = {29},
  number  = {3},
  pages   = {93--106},
  year    = {2008}
}

@inproceedings{hu2020open,
  author    = {Hu, Weihua and others},
  title     = {Open graph benchmark: datasets for machine learning on graphs},
  booktitle = {Advances in Neural Information Processing Systems},
  volume    = {33},
  pages     = {22118--22133},
  year      = {2020}
}

@inproceedings{1998citeseer,
  author    = {Giles, C. Lee and Bollacker, Kurt D. and Lawrence, Steve},
  title     = {{CiteSeer}: an automatic citation indexing system},
  booktitle = {Proceedings of the Third {ACM} Conference on Digital Libraries},
  pages     = {89--98},
  year      = {1998}
}

@misc{2022openalex,
  author       = {Priem, Jason and Piwowar, Heather and Orr, Richard},
  title        = {{OpenAlex}: a fully-open index of scholarly works, authors, venues, institutions, and concepts},
  howpublished = {Preprint at \url{https://arxiv.org/abs/2205.01833}},
  year         = {2022}
}

@inproceedings{DeepSN2025,
  author    = {Hevapathige, Asela and Wang, Qing and Zehmakan, Ahad N.},
  title     = {{DeepSN}: a sheaf neural framework for influence maximization},
  booktitle = {Proceedings of the {AAAI} Conference on Artificial Intelligence},
  volume    = {39},
  number    = {16},
  pages     = {17177--17185},
  year      = {2025}
}

@article{zhang2025sequential,
  author  = {Zhang, Zizhen and Li, Deying and Wang, Yongcai and Chen, Wenping and Zhu, Yuqing},
  title   = {Sequential decision based learning method for influence maximization},
  journal = {Theor. Comput. Sci.},
  volume  = {1036},
  pages   = {115147},
  year    = {2025}
}

@misc{him2025,
  author       = {Qiao, Hongliang},
  title        = {Diffusion model agnostic social influence maximization in hyperbolic space},
  howpublished = {Preprint at \url{https://arxiv.org/abs/2502.13571}},
  year         = {2025}
}

@inproceedings{2023deepim,
  author    = {Ling, Chen and others},
  title     = {Deep graph representation learning and optimization for influence maximization},
  booktitle = {Proceedings of the 40th International Conference on Machine Learning},
  pages     = {21350--21361},
  year      = {2023}
}

@article{2023touplegdd,
  author  = {Chen, Tiantian and Yan, Siwen and Guo, Jianxiong and Wu, Weili},
  title   = {{ToupleGDD}: a fine-designed solution of influence maximization by deep reinforcement learning},
  journal = {IEEE Trans. Comput. Soc. Syst.},
  volume  = {11},
  number  = {2},
  pages   = {2210--2221},
  year    = {2023}
}

@techreport{haveliwala1999,
  author      = {Haveliwala, Taher H.},
  title       = {Efficient computation of {PageRank}},
  institution = {Stanford University},
  type        = {Technical report},
  number      = {1999-31},
  year        = {1999},
  url         = {https://ilpubs.stanford.edu/386/1/1999-31.pdf}
}

@inproceedings{kempe2003maximizing,
  author    = {Kempe, David and Kleinberg, Jon and Tardos, {\'E}va},
  title     = {Maximizing the spread of influence through a social network},
  booktitle = {Proceedings of the Ninth {ACM SIGKDD} International Conference on Knowledge Discovery and Data Mining},
  pages     = {137--146},
  year      = {2003},
  doi       = {10.1145/956750.956769}
}
```