John Palowitch
John Palowitch
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Citata da
Citata da
Genetic effects on gene expression across human tissues
GTEx Consortium Lead analysts: Aguet Franois 1 Brown Andrew A. 2 3 4 Castel ...
Nature 550 (7675), 204-213, 2017
Graph clustering with graph neural networks
A Tsitsulin, J Palowitch, B Perozzi, E Mller
Journal of Machine Learning Research 24 (127), 1-21, 2023
Co-expression networks reveal the tissue-specific regulation of transcription and splicing
A Saha, Y Kim, ADH Gewirtz, B Jo, C Gao, IC McDowell, BE Engelhardt, ...
Genome research 27 (11), 1843-1858, 2017
Community extraction in multilayer networks with heterogeneous community structure
JD Wilson, J Palowitch, S Bhamidi, AB Nobel
The Journal of Machine Learning Research 18 (1), 5458-5506, 2017
Identifying cis-mediators for trans-eQTLs across many human tissues using genomic mediation analysis
F Yang, J Wang, BL Pierce, LS Chen, F Aguet, KG Ardlie, BB Cummings, ...
Genome research 27 (11), 1859-1871, 2017
Graphworld: Fake graphs bring real insights for gnns
J Palowitch, A Tsitsulin, B Mayer, B Perozzi
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and…, 2022
Significance-based community detection in weighted networks
J Palowitch, S Bhamidi, AB Nobel
The Journal of Machine Learning Research 18 (1), 6899-6946, 2017
Monet: Debiasing graph embeddings via the metadata-orthogonal training unit
J Palowitch, B Perozzi
arXiv preprint arXiv:1909.11793, 2019
Tf-gnn: Graph neural networks in tensorflow
O Ferludin, A Eigenwillig, M Blais, D Zelle, J Pfeifer, A Sanchez-Gonzalez, ...
arXiv preprint arXiv:2207.03522, 2022
Synthetic Graph Generation to Benchmark Graph Learning
J Palowitch, A Tsitsulin, B Perozzi, BA Mayer
NeurIPS 2022 Workshop: New Frontiers in Graph Learning, 2022
Estimation of cis-eQTL effect sizes using a log of linear model
J Palowitch, A Shabalin, YH Zhou, AB Nobel, FA Wright
Biometrics 74 (2), 616-625, 2018
Computing the statistical significance of optimized communities in networks
J Palowitch
Scientific Reports 9 (1), 1-10, 2019
Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks
M Yoon, J Palowitch, D Zelle, Z Hu, R Salakhutdinov, B Perozzi
Advances in Neural Information Processing Systems 35, 27347-27359, 2022
Recurrent graph neural networks for rumor detection in online forums
D Huang, J Bartel, J Palowitch
arXiv preprint arXiv:2108.03548, 2021
Graph Generative Model for Benchmarking Graph Neural Networks
M Yoon, Y Wu, J Palowitch, B Perozzi, R Salakhutdinov
De-Biasing Graph Embeddings via Metadata-Orthogonal Training
JJ Palowitch
US Patent App. 17/000,732, 2021
Finding stable groups of cross-correlated features in multi-view data
M Dewaskar, J Palowitch, M He, MI Love, A Nobel
arXiv preprint arXiv:2009.05079, 2020
Examining the Effects of Degree Distribution and Homophily in Graph Learning Models
M Yasir, J Palowitch, A Tsitsulin, L Tran-Thanh, B Perozzi
arXiv preprint arXiv:2307.08881, 2023
Scalable and Privacy-enhanced Graph Generative Model for Graph Neural Networks
M Yoon, Y Wu, J Palowitch, B Perozzi, R Salakhutdinov
Large-Scale Architecture Search in Graph Neural Networks via Synthetic Data
BT Perozzi, A Tsitsulin, JJ Palowitch, B Mayer
US Patent App. 17/940,568, 2023
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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