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Variational Causal Inference


Sep 13, 2022
Yulun Wu, Layne C. Price, Zichen Wang, Vassilis N. Ioannidis, George Karypis


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Efficient and effective training of language and graph neural network models


Jun 22, 2022
Vassilis N. Ioannidis, Xiang Song, Da Zheng, Houyu Zhang, Jun Ma, Yi Xu, Belinda Zeng, Trishul Chilimbi, George Karypis


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A Robust Stacking Framework for Training Deep Graph Models with Multifaceted Node Features


Jun 16, 2022
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Tom Goldstein, David Wipf


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TempoQR: Temporal Question Reasoning over Knowledge Graphs


Dec 10, 2021
Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Soji Adeshina, Phillip R. Howard, Tetiana Grinberg, Nagib Hakim, George Karypis

* AAAI 2022 

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Convergent Boosted Smoothing for Modeling Graph Data with Tabular Node Features


Oct 26, 2021
Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf


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Scalable Consistency Training for Graph Neural Networks via Self-Ensemble Self-Distillation


Oct 12, 2021
Cole Hawkins, Vassilis N. Ioannidis, Soji Adeshina, George Karypis


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Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks


Apr 17, 2021
Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis


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COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature


Jul 24, 2020
Colby Wise, Vassilis N. Ioannidis, Miguel Romero Calvo, Xiang Song, George Price, Ninad Kulkarni, Ryan Brand, Parminder Bhatia, George Karypis


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PanRep: Universal node embeddings for heterogeneous graphs


Jul 20, 2020
Vassilis N. Ioannidis, Da Zheng, George Karypis


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Few-shot link prediction via graph neural networks for Covid-19 drug-repurposing


Jul 20, 2020
Vassilis N. Ioannidis, Da Zheng, George Karypis


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