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NetInfoF Framework: Measuring and Exploiting Network Usable Information.

M. Lee, H. Yu, J. Zhang, V. Ioannidis, X. Song, S. Adeshina, D. Zheng, and C. Faloutsos. ICLR, OpenReview.net, (2024)

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Firoz Sojitrawalla

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Relational Graph Neural Networks for Fraud Detection in a Super-App environment.J. Acevedo-Viloria, L. Roa, S. Adeshina, C. Olazo, A. Rodríguez-Rey, J. Ramos, and A. Bahnsen. CoRR, (2021)PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.S. Zhang, J. Zhang, X. Song, S. Adeshina, D. Zheng, C. Faloutsos, and Y. Sun. WWW, page 3784-3793. ACM, (2023)Train Your Own GNN Teacher: Graph-Aware Distillation on Textual Graphs.C. Mavromatis, V. Ioannidis, S. Wang, D. Zheng, S. Adeshina, J. Ma, H. Zhao, C. Faloutsos, and G. Karypis. ECML/PKDD (3), volume 14171 of Lecture Notes in Computer Science, page 157-173. Springer, (2023)Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features.J. Chen, J. Mueller, V. Ioannidis, S. Adeshina, Y. Wang, T. Goldstein, and D. Wipf. ICLR, OpenReview.net, (2022)ScatterSample: Diversified Label Sampling for Data Efficient Graph Neural Network Learning.Z. Dai, V. Ioannidis, S. Adeshina, Z. Jost, C. Faloutsos, and G. Karypis. LoG, volume 198 of Proceedings of Machine Learning Research, page 35. PMLR, (2022)Hierarchical Compression of Text-Rich Graphs via Large Language Models.S. Zhang, D. Zheng, J. Zhang, Q. Zhu, X. Song, S. Adeshina, C. Faloutsos, G. Karypis, and Y. Sun. CoRR, (2024)OrthoReg: Improving Graph-regularized MLPs via Orthogonality Regularization.H. Zhang, S. Wang, V. Ioannidis, S. Adeshina, J. Zhang, X. Qin, C. Faloutsos, D. Zheng, G. Karypis, and P. Yu. CoRR, (2023)PropInit: Scalable Inductive Initialization for Heterogeneous Graph Neural Networks.S. Adeshina, J. Zhang, M. Kim, M. Chen, R. Fathony, A. Vashisht, J. Chen, and G. Karypis. ICKG, page 6-13. IEEE, (2022)NetInfoF Framework: Measuring and Exploiting Network Usable Information.M. Lee, H. Yu, J. Zhang, V. Ioannidis, X. Song, S. Adeshina, D. Zheng, and C. Faloutsos. ICLR, OpenReview.net, (2024)GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications.D. Zheng, X. Song, Q. Zhu, J. Zhang, T. Vasiloudis, R. Ma, H. Zhang, Z. Wang, S. Adeshina, I. Nisa and 6 other author(s). KDD, page 6356-6367. ACM, (2024)

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Disambiguation of "Adeshina, Soji"

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NetInfoF Framework: Measuring and Exploiting Network Usable Information.

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Firoz Sojitrawalla

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Disambiguation

BibSonomy

Disambiguation of "Adeshina, Soji"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML NetInfoF Framework: Measuring and Exploiting Network Usable Information.

Please choose a person to relate this publication to

Firoz Sojitrawalla

Other publications of authors with the same name

Disambiguation

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URL
DOI
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Chicago
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NetInfoF Framework: Measuring and Exploiting Network Usable Information.