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Convolutional Neural Network Dynamics: A Graph Perspective



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



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

* 8 pages, 4 figures 

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



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



Jiong Zhu , Junchen Jin , Michael T. Schaub , Danai Koutra

* preprint with appendix; 30 pages, 1 figure 

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Relational world knowledge representation in contextual language models: A review



Tara Safavi , Danai Koutra


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Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding



Jing Zhu , Xingyu Lu , Mark Heimann , Danai Koutra

* SDM 2021 

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Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks



Yujun Yan , Milad Hashemi , Kevin Swersky , Yaoqing Yang , Danai Koutra

* 8 pages main paper + 7 pages appendix 

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A Hidden Challenge of Link Prediction: Which Pairs to Check?



Caleb Belth , Alican Büyükçakır , Danai Koutra


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Generating Negative Commonsense Knowledge



Tara Safavi , Danai Koutra

* Preprint, ongoing work 

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