Michalis Vazirgiannis
Artificial Intelligence · 2000–2025
A researcher in the Science corpus: 17 papers; trusts 250 researchers and is trusted by 49 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 155 citations into it; #4,613 of 35,345 by trust here, #6,720 by citations
- Natural Language Processing — 78 citations into it; #4,412 of 5,688 by trust here, #5,092 by citations
- Statistical and Nonlinear Physics — 58 citations into it; #1,801 of 10,127 by trust here, #1,352 by citations
- Computer Vision and Pattern Recognition — 50 citations into it; #13,657 of 21,575 by trust here, #12,689 by citations
- Graph Learning — 46 citations into it
- Information Systems — 39 citations into it; #5,725 of 8,771 by trust here, #6,770 by citations
- Molecular Biology — 39 citations into it
- Evaluation & Benchmarks — 29 citations into it
Whom Michalis Vazirgiannis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark Newman
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Santo Fortunato
- Ilya Sutskever
- Jon M. Kleinberg
- Yann LeCun
- Tomas Mikolov
Who trusts Michalis Vazirgiannis overall
- Fragkiskos D. Malliaros
- Maria Halkidi
- Malika Charrad
- François Rousseau
- Konstantinos Skianis
- Zhuyun Dai
- Christopher Morris
- Liang Zheng
- Masumi Shirakawa
- Satyasai Jagannath Nanda
Papers from Michalis Vazirgiannis's perspective
Ordered by how strongly the researchers Michalis Vazirgiannis trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Clustering and Community Detection in Directed Networks: A Survey (2013) — 732 citations
- A Degeneracy Framework for Graph Similarity (2018) — 80 citations
- Clustering validity checking methods: part II (2002) — 528 citations
- LLM as a Broken Telephone: Iterative Generation Distorts Information (2025)
- FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation (2021) — 38 citations
- Message Passing Attention Networks for Document Understanding (2019) — 81 citations
- Matching Node Embeddings for Graph Similarity (2017) — 219 citations
- Regularizing Text Categorization with Clusters of Words (2016) — 15 citations
- Text Categorization as a Graph Classification Problem (2015) — 127 citations
- Main Core Retention on Graph-of-Words for Single-Document Keyword Extraction (2015) — 85 citations
- Graph-of-word and TW-IDF: new approach to ad hoc IR (2013) — 156 citations
- Web mining for web personalization (2003) — 1,039 citations
- Cluster validity methods: part I (2002) — 585 citations
- On Clustering Validation Techniques (2001) — 2,538 citations
- Clustering validity assessment: finding the optimal partitioning of a data set (2001) — 505 citations
- A foundation for representing and querying moving objects (2000) — 859 citations
- Quality Scheme Assessment in the Clustering Process (2000) — 337 citations