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@article{xia2022fast,
  title = {Fast protein structure comparison through effective representation learning with contrastive graph neural networks},
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@article{wang2025drug,
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@article{broccatelli2022benchmarking,
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@article{liu2022graphbased,
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@article{zhang2025graph,
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@article{lakzaei2024disinformation,
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@article{wein2022forecasting,
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@inproceedings{liu2023interpretable,
  title = {Interpretable Chirality-Aware Graph Neural Network for Quantitative Structure Activity Relationship Modeling in Drug Discovery},
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@article{ali2024deepep,
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@article{li2021crnntl,
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@article{kankanige2022application,
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@article{zhang2024expressive,
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@article{chen2024fairnessaware,
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@article{yao2024knowledge,
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@article{taniguchi2023graph,
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@article{geng2024mgddi,
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@article{han2021reliable,
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@article{zhang2020adverse,
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@article{feng2025comprehensive,
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@article{malhotra2023comparison,
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@article{kang2022benchmark,
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  booktitle = {Proceedings of the Genetic and Evolutionary Computation Conference},
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@article{he2021fedgraphnn,
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@article{nangia2024importance,
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@article{zhang2023risk,
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@article{bai2020bilevel,
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@article{speckplanche2020demystifying,
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@article{vik2024performance,
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}

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@article{domingo2024hybrid,
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@article{feeney2021relation,
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  year = {2021},
  journal = {arXiv (Cornell University)},
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}

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}

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  journal = {arXiv (Cornell University)},
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}

@article{almeida2023overcoming,
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  journal = {arXiv (Cornell University)},
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}

@article{wang2021benchmarking,
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  journal = {arXiv (Cornell University)},
  doi = {10.48550/arxiv.2102.12557},
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}

@article{zeng2024scpgnnscpscpddasscp,
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@article{huang2024benchtemp,
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@article{forestano2024comparison,
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@article{nikhil2024enhancing,
  title = {Enhancing The Accuracy In Food Image Recognition Using Recurrent Neural Network Model In Comparison With Graph Neural Network Model},
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@article{lallier2023graph,
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  journal = {Journal of Intelligent Manufacturing},
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  year = {2022},
  journal = {arXiv (Cornell University)},
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}

@article{he2022gnnrank,
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@article{wang2025graph,
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@article{ma2024application,
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  year = {2024},
  journal = {arXiv (Cornell University)},
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}

@article{hosseini2022deep,
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  journal = {arXiv (Cornell University)},
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}

@article{lachaud2022comparison,
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@article{li2024mdmnidgd,
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@article{pati2023retracted,
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@article{lei2024pepgb,
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  year = {2024},
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@article{bongini2023graph,
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@inproceedings{choi2021comparison,
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@article{kruger2025publishing,
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@article{monroe2023neural,
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@article{piotto2022artificial,
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@article{lin2022comparison,
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@article{lee2025ragenhanced,
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@article{joshi2025transformers,
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@article{hanriot2025multiclass,
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@article{berry2025survey,
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@article{hu2025domain,
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@article{gautam2025neurocorex,
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@article{migus2025newtonpuiseux,
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@article{banerjee2025valid,
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@article{goel2025maintenance,
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@article{polanco2025drugdisease,
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@article{averly2025liddia,
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  year = {2025},
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@article{chen2025artificial,
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  year = {2025},
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@article{seal2025agents,
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  archiveprefix = {arXiv},
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@article{thomas2025reinforceing,
  title = {REINFORCE-ING Chemical Language Models for Drug Discovery},
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  year = {2025},
  journal = {arXiv preprint arXiv:2501.15971},
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  archiveprefix = {arXiv},
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@article{dang2025preferential,
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  year = {2025},
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  archiveprefix = {arXiv},
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@article{li2025graphstructured,
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  year = {2025},
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  archiveprefix = {arXiv},
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@article{weesep2025exploring,
  title = {Exploring Modularity of Agentic Systems for Drug Discovery},
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  year = {2025},
  journal = {arXiv preprint arXiv:2506.22189},
  eprint = {2506.22189},
  archiveprefix = {arXiv},
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@article{wu2025programmable,
  title = {Programmable Virtual Humans Toward Human Physiologically-Based Drug Discovery},
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  year = {2025},
  journal = {arXiv preprint arXiv:2507.19568},
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  archiveprefix = {arXiv},
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@article{ozcelik2024evaluation,
  title = {How Evaluation Choices Distort the Outcome of Generative Drug Discovery},
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@article{wang2024proficient,
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@article{singh2024graphprint,
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  journal = {arXiv preprint arXiv:2407.10452},
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@article{zhou2024quantummachineassisted,
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@article{delong2024mars,
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@article{sanchezmoreno2024smart,
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@article{oladyshkin2023deep,
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@article{dagostino2023active,
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@article{rao2023novomol,
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  journal = {arXiv preprint arXiv:2312.01527},
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@article{gao2023counting,
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@article{almasan2023atom,
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@article{latifmartinez2023detecting,
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@article{hu2023tackling,
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@article{xiao2023spide,
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@article{lotito2023hyperlink,
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  journal = {arXiv preprint arXiv:2303.01385},
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}

@article{danel2023dockingbased,
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  year = {2023},
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}

@article{nan2023interpretable,
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}

@article{urbonas2023automating,
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  year = {2023},
  journal = {arXiv preprint arXiv:2312.09865},
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}

@article{alizadehsani2023explainable,
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}

@article{hasselgren2023artificial,
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  year = {2023},
  journal = {arXiv preprint arXiv:2307.06521},
  doi = {10.1146/annurev-pharmtox-040323-040828},
  eprint = {2307.06521},
  archiveprefix = {arXiv},
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}

@article{gupta2023cardigraphormer,
  title = {CardiGraphormer: Unveiling the Power of Self-Supervised Learning in Revolutionizing Drug Discovery},
  author = {Abhijit Gupta},
  year = {2023},
  journal = {arXiv preprint arXiv:2307.00859},
  eprint = {2307.00859},
  archiveprefix = {arXiv},
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}

@article{wang2023chatgpt,
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  author = {Rui Wang and Hongsong Feng and Guo-Wei Wei},
  year = {2023},
  journal = {arXiv preprint arXiv:2308.06920},
  eprint = {2308.06920},
  archiveprefix = {arXiv},
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}

@article{lee2023drug,
  title = {Drug Discovery with Dynamic Goal-aware Fragments},
  author = {Seul Lee and Seanie Lee and Kenji Kawaguchi and Sung Ju Hwang},
  year = {2023},
  journal = {arXiv preprint arXiv:2310.00841},
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  archiveprefix = {arXiv},
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}

@article{ganaie2023graph,
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  year = {2023},
  journal = {arXiv preprint arXiv:2307.07881},
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}

@article{fu2022mecch,
  title = {MECCH: Metapath Context Convolution-based Heterogeneous Graph Neural Networks},
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  year = {2022},
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}

@article{vieira2022acute,
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}

@article{angelini2022modern,
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@article{morales2022dual,
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}

@article{ye2022candidatedrugcancer,
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  year = {2022},
  journal = {arXiv preprint arXiv:2203.00836},
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  archiveprefix = {arXiv},
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}

@article{yang2022hyperbolic,
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  year = {2022},
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}

@article{faundezzanuy2022study,
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  year = {2022},
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}

@article{ficara2022classical,
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  year = {2022},
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}

@article{hilsabeck2022hybrid,
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  journal = {arXiv preprint arXiv:2206.11444},
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  archiveprefix = {arXiv},
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}

@article{cava2022information,
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  archiveprefix = {arXiv},
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@article{kocabiyikoglu2022spoken,
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  year = {2022},
  journal = {arXiv preprint arXiv:2207.08292},
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  archiveprefix = {arXiv},
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}

@article{ozcelik2022structurebased,
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  year = {2022},
  journal = {arXiv preprint arXiv:2212.13295},
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}

@article{li2022energybased,
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  year = {2022},
  journal = {arXiv preprint arXiv:2212.02404},
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  archiveprefix = {arXiv},
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}

@article{michoel2022causal,
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}

@article{didi2022needs,
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  year = {2022},
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@article{kumarasinghe2022pdnsnet,
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  author = {Udesh Kumarasinghe and Fatih Deniz and Mohamed Nabeel},
  year = {2022},
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@article{cossu2021continual,
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@article{bo2021social,
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@article{riva2021templatebased,
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  year = {2021},
  journal = {arXiv preprint arXiv:2107.01994},
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@article{poli2021continuousdepth,
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  year = {2021},
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@article{simas2021distance,
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@article{chen2021applications,
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@article{bautista2021logical,
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@article{esposito2021always,
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  year = {2021},
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@article{proenca2021robust,
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  year = {2021},
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}

@article{deng2021artificial,
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  year = {2021},
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  archiveprefix = {arXiv},
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@article{bonner2021review,
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  year = {2021},
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@article{seo2021siren,
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  year = {2021},
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@article{tiezzi2021graph,
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