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Michalis Vazirgiannis

What Do GNNs Actually Learn? Towards Understanding their Representations

Apr 21, 2023
Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis

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New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction

Nov 16, 2022
Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis

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* This NeurIPS 2022 GLFrontiers workshop paper summarizes results from the following journal article: arXiv:2202.00961. arXiv admin note: text overlap with arXiv:2205.14651

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Improving Graph Neural Networks at Scale: Combining Approximate PageRank and CoreRank

Nov 08, 2022
Ariel R. Ramos Vela, Johannes F. Lutzeyer, Anastasios Giovanidis, Michalis Vazirgiannis

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* Accepted at the "NeurIPS 2022 New Frontiers in Graph Learning Workshop (NeurIPS GLFrontiers 2022)"

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Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency

Oct 31, 2022
Yanzhu Guo, Chloé Clavel, Moussa Kamal Eddine, Michalis Vazirgiannis

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* Accepted to EMNLP 2022

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