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Danai Koutra

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A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias

Mar 23, 2023
Puja Trivedi, Danai Koutra, Jayaraman J. Thiagarajan

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CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment

Aug 23, 2022
Jing Zhu, Danai Koutra, Mark Heimann

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Analyzing Data-Centric Properties for Contrastive Learning on Graphs

Aug 04, 2022
Puja Trivedi, Ekdeep Singh Lubana, Mark Heimann, Danai Koutra, Jayaraman J. Thiagarajan

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Exploring the Design of Adaptation Protocols for Improved Generalization and Machine Learning Safety

Jul 26, 2022
Puja Trivedi, Danai Koutra, Jayaraman J. Thiagarajan

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On Graph Neural Network Fairness in the Presence of Heterophilous Neighborhoods

Jul 10, 2022
Donald Loveland, Jiong Zhu, Mark Heimann, Ben Fish, Michael T. Schaub, Danai Koutra

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Learning node embeddings via summary graphs: a brief theoretical analysis

Jul 04, 2022
Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng

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Convolutional Neural Network Dynamics: A Graph Perspective

Nov 09, 2021
Fatemeh Vahedian, Ruiyu Li, Puja Trivedi, Di Jin, Danai Koutra

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Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices

Nov 05, 2021
Puja Trivedi, Ekdeep Singh Lubana, Yujun Yan, Yaoqing Yang, Danai Koutra

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Deep Transfer Learning for Multi-source Entity Linkage via Domain Adaptation

Oct 27, 2021
Di Jin, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Danai Koutra

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Improving Robustness of Graph Neural Networks with Heterophily-Inspired Designs

Jun 14, 2021
Jiong Zhu, Junchen Jin, Michael T. Schaub, Danai Koutra

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