Leveraging Generative Pre-Trained Transformer Models for Standardizing Nursing Data.

Aseem Baranwal Aseem Baranwal Alexander Semenov Patricia De Oliveira Salgado Karen B. Priola Yingwei Yao Gail M. Keenan Tamara Goncalves Rezende Macieira Leveraging Generative Pre-Trained Transformer Models for Standardizing Nursing Data. 386-391 2024 ICHI https://doi.org/10.1109/ICHI61247.2024.00056 conf/ichi/2024 db/conf/ichi/ichi2024.html#BaranwalSSPYKM24 Robert Wang 0004 Aseem Baranwal Kimon Fountoulakis Analysis of Corrected Graph Convolutions. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/e6f8759254d86ea9c197d30b92b313ca-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#WangBF24

Robert Wang 0004 Aseem Baranwal Kimon Fountoulakis Analysis of Corrected Graph Convolutions. 2024 abs/2405.13987 CoRR https://doi.org/10.48550/arXiv.2405.13987 db/journals/corr/corr2405.html#abs-2405-13987

Kimon Fountoulakis Amit Levi 0001 Shenghao Yang 0002 Aseem Baranwal Aukosh Jagannath Graph Attention Retrospective. 246:1-246:52 2023 24 J. Mach. Learn. Res. https://jmlr.org/papers/v24/22-125.html db/journals/jmlr/jmlr24.html#FountoulakisLYBJ23

Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath Effects of Graph Convolutions in Multi-layer Networks. 2023 ICLR https://openreview.net/forum?id=P-73JPgRs0R conf/iclr/2023 db/conf/iclr/iclr2023.html#BaranwalFJ23 Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath Optimality of Message-Passing Architectures for Sparse Graphs. 2023 NeurIPS http://papers.nips.cc/paper_files/paper/2023/hash/7e991aa4cd2fdf0014fba2f000f542d0-Abstract-Conference.html conf/nips/2023 db/conf/nips/neurips2023.html#BaranwalFJ23

Aseem Baranwal Aukosh Jagannath Kimon Fountoulakis Optimality of Message-Passing Architectures for Sparse Graphs. 2023 abs/2305.10391 CoRR https://doi.org/10.48550/arXiv.2305.10391 db/journals/corr/corr2305.html#abs-2305-10391

Kimon Fountoulakis Amit Levi 0001 Shenghao Yang 0002 Aseem Baranwal Aukosh Jagannath Graph Attention Retrospective. 2022 abs/2202.13060 CoRR https://arxiv.org/abs/2202.13060 db/journals/corr/corr2202.html#abs-2202-13060

Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath Effects of Graph Convolutions in Deep Networks. 2022 abs/2204.09297 CoRR https://doi.org/10.48550/arXiv.2204.09297 db/journals/corr/corr2204.html#abs-2204-09297

Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization. 684-693 2021 ICML http://proceedings.mlr.press/v139/baranwal21a.html conf/icml/2021 db/conf/icml/icml2021.html#BaranwalFJ21

Aseem Baranwal Kimon Fountoulakis Aukosh Jagannath Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization. 2021 abs/2102.06966 CoRR https://arxiv.org/abs/2102.06966 db/journals/corr/corr2102.html#abs-2102-06966

Kimon Fountoulakis Aukosh Jagannath Gail M. Keenan Amit Levi 0001 Tamara Goncalves Rezende Macieira Karen PriolaKaren B. Priola Patricia De Oliveira Salgado Alexander Semenov Robert Wang 0004 Shenghao Yang 0002 Yingwei Yao