Michalis Vazirgiannis
58 papers · 2015–2026 · 14 conferences · across top CS/AI conferences
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π Conference Polyglot (14) π§ Keyword Pioneer π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (13) π Academic Marathon (10)
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Renaissance Researcher
(10)
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(13)
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Grand Slam
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Deep Specialist
(16)
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Century Club
(56)
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Conference Pioneer
β‘
Prolific Year
(6)
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Keyword Collector
(194)
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Trend Setter
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Unstoppable
(11)
Conferences
EMNLP (16)
ACL (7)
AISTATS (6)
AAAI (5)
EACL (5)
COLING (3)
ICML (3)
NIPS (3)
AACL (2)
ICLR (2)
IJCAI (2)
NAACL (2)
IJCNLP (1)
JMLR (1)
Top co-authors
Research topics
Keywords
graph neural network
(11)
graph classification
(7)
language model
(5)
large language model
(5)
text generation
(5)
graph kernel
(4)
transfer learning
(4)
message passing
(4)
abstractive summarization
(4)
text classification
(4)
node classification
(3)
word embedding
(3)
adversarial robustness
(3)
weisfeiler-leman algorithm
(3)
evaluation metric
(2)
metric learning
(2)
domain adaptation
(2)
encoder-decoder architecture
(2)
random walk kernels
(2)
text categorization
(2)
Papers
Lost in the Mix: Evaluating LLM Understanding of Code-Switched Text
ACL 2026
Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning
EACL 2026
LLM as a Broken Telephone: Iterative Generation Distorts Information
ACL 2025
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings
AISTATS 2025
Prediction via Shapley Value Regression
ICML 2025
Graph Neural Network Generalization With Gaussian Mixture Model Based Augmentation
ICML 2025
Nile-Chat: Egyptian Language Models for Arabic and Latin Scripts
EMNLP 2025
Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect
COLING 2025
Bias in the Mirror : Are LLMs opinions robust to their own adversarial attacks
ACL 2025
GreekBART: The First Pretrained Greek Sequence-to-Sequence Model
COLING 2024
The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text
NAACL 2024
If You Want to Be Robust, Be Wary of Initialization
NIPS 2024
Prot2Text: Multimodal Proteinβs Function Generation with GNNs and Transformers
AAAI 2024
A Simple and Yet Fairly Effective Defense for Graph Neural Networks
AAAI 2024
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks
ICLR 2024
Automatic Analysis of Substantiation in Scientific Peer Reviews
EMNLP 2023
Graph Ordering Attention Networks
AAAI 2023
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations
AISTATS 2023
Graph Alignment Kernels using Weisfeiler and Leman Hierarchies
AISTATS 2023
Geometric Random Walk Graph Neural Networks via Implicit Layers
AISTATS 2023
DATScore: Evaluating Translation with Data Augmented Translations
EACL 2023
FREDSum: A Dialogue Summarization Corpus for French Political Debates
EMNLP 2023
Path Neural Networks: Expressive and Accurate Graph Neural Networks
ICML 2023
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation
ACL 2022
Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency
EMNLP 2022
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization
EMNLP 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection
NIPS 2022
Node Feature Kernels Increase Graph Convolutional Network Robustness
AISTATS 2022
Transfer Graph Neural Networks for Pandemic Forecasting
AAAI 2021
BARThez: a Skilled Pretrained French Sequence-to-Sequence Model
EMNLP 2021
JuriBERT: A Masked-Language Model Adaptation for French Legal Text
EMNLP 2021
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets
EMNLP 2021
Learning Parametrised Graph Shift Operators
ICLR 2021
Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings
EACL 2021
An Ensemble Method for Producing Word Representations focusing on the Greek Language
AACL 2020
Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding
AACL 2020
GraKeL: A Graph Kernel Library in Python
JMLR 2020
Message Passing Attention Networks for Document Understanding
AAAI 2020
Random Walk Graph Neural Networks
NIPS 2020
Speaker-change Aware CRF for Dialogue Act Classification
COLING 2020
Rep the Set: Neural Networks for Learning Set Representations
AISTATS 2020
A Degeneracy Framework for Scalable Graph Autoencoders
IJCAI 2019
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13)
EMNLP 2019
Scalable graph-based method for individual named entity identification
EMNLP 2019
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization
ACL 2018
Orthogonal Matching Pursuit for Text Classification
EMNLP 2018
A Degeneracy Framework for Graph Similarity
IJCAI 2018
Fusing Document, Collection and Label Graph-based Representations with Word Embeddings for Text Classification
NAACL 2018
Graph-based Text Representations: Boosting Text Mining, NLP and Information Retrieval with Graphs
EMNLP 2017
Multivariate Gaussian Document Representation from Word Embeddings for Text Categorization
EACL 2017
Real-Time Keyword Extraction from Conversations
EACL 2017
Shortest-Path Graph Kernels for Document Similarity
EMNLP 2017
GoWvis: A Web Application for Graph-of-Words-based Text Visualization and Summarization
ACL 2016
Regularizing Text Categorization with Clusters of Words
EMNLP 2016
A Graph Degeneracy-based Approach to Keyword Extraction
EMNLP 2016
Convolutional Sentence Kernel from Word Embeddings for Short Text Categorization
EMNLP 2015
Text Categorization as a Graph Classification Problem
IJCNLP 2015
Text Categorization as a Graph Classification Problem
ACL 2015