Michalis Vazirgiannis
5 papers in the PaperMetrix corpus
Papers by this author
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Machine Learning on Graphs with Kernels
2019
Graphs are becoming a dominant structure in current information management with many domains involved, including social networks, chemistry, biology, etc. Many real-world problems require applying machine learning tasks to graph-structured data. Graph kernels have emerged …
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Node Feature Kernels Increase Graph Convolutional Network Robustness
2021 · arXiv (Cornell University)
The robustness of the much-used Graph Convolutional Networks (GCNs) to perturbations of their input is becoming a topic of increasing importance. In this paper, the random GCN is introduced for which a random matrix theory …
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BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets
2021 · arXiv (Cornell University)
We introduce BERTweetFR, the first large-scale pre-trained language model for French tweets. Our model is initialized using the general-domain French language model CamemBERT which follows the base architecture of RoBERTa. Experiments show that BERTweetFR outperforms …
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Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models
2024 · arXiv (Cornell University)
Graph generation has emerged as a crucial task in machine learning, with significant challenges in generating graphs that accurately reflect specific properties. Existing methods often fall short in efficiently addressing this need as they struggle …
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LLM as a Broken Telephone: Iterative Generation Distorts Information
2025 · arXiv (Cornell University)
As large language models are increasingly responsible for online content, concerns arise about the impact of repeatedly processing their own outputs. Inspired by the "broken telephone" effect in chained human communication, this study investigates whether …