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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)

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Firoz Sojitrawalla

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Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features.J. Chen, J. Mueller, V. Ioannidis, S. Adeshina, Y. Wang, T. Goldstein, and D. Wipf. CoRR, (2021)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)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)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)Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation.C. Hawkins, V. Ioannidis, S. Adeshina, and G. Karypis. 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)TempoQR: Temporal Question Reasoning over Knowledge Graphs.C. Mavromatis, P. Subramanyam, V. Ioannidis, S. Adeshina, P. Howard, T. Grinberg, N. Hakim, and G. Karypis. CoRR, (2021)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)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)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)

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Disambiguation of "Adeshina, Soji"

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PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.

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Firoz Sojitrawalla

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BibSonomy

Disambiguation of "Adeshina, Soji"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.

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Firoz Sojitrawalla

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PaGE-Link: Path-based Graph Neural Network Explanation for Heterogeneous Link Prediction.