Matching node embeddings for graph similarity G Nikolentzos, P Meladianos, M Vazirgiannis Proceedings of the 31st AAAI Conference on Artificial Intelligence, 2429-2435, 2017 | 274 | 2017 |
Grakel: A graph kernel library in python G Siglidis, G Nikolentzos, S Limnios, C Giatsidis, K Skianis, ... Journal of Machine Learning Research 21 (54), 1-5, 2020 | 198 | 2020 |
Transfer graph neural networks for pandemic forecasting G Panagopoulos, G Nikolentzos, M Vazirgiannis Proceedings of the 35th AAAI Conference on Artificial Intelligence, 4838-4845, 2021 | 146 | 2021 |
Graph kernels: A survey G Nikolentzos, G Siglidis, M Vazirgiannis Journal of Artificial Intelligence Research 72, 943-1027, 2021 | 130 | 2021 |
Degeneracy-based real-time sub-event detection in twitter stream P Meladianos, G Nikolentzos, F Rousseau, Y Stavrakas, M Vazirgiannis Proceedings of the international AAAI conference on web and social media 9 …, 2015 | 113 | 2015 |
Random walk graph neural networks G Nikolentzos, M Vazirgiannis Advances in Neural Information Processing Systems 33, 16211-16222, 2020 | 103 | 2020 |
A Degeneracy Framework for Graph Similarity. G Nikolentzos, P Meladianos, S Limnios, M Vazirgiannis Proceedings of the 27th International Joint Conference on Artificial …, 2018 | 78 | 2018 |
Message Passing Attention Networks for Document Understanding G Nikolentzos, AJP Tixier, M Vazirgiannis Proceedings of the 34th AAAI Conference on Artificial Intelligence, 8544-8551, 2020 | 71 | 2020 |
Shortest-path graph kernels for document similarity G Nikolentzos, P Meladianos, F Rousseau, Y Stavrakas, M Vazirgiannis Proceedings of the 2017 Conference on Empirical Methods in Natural Language …, 2017 | 70 | 2017 |
Graph classification with 2d convolutional neural networks AJP Tixier, G Nikolentzos, P Meladianos, M Vazirgiannis Artificial Neural Networks and Machine Learning–ICANN 2019: Workshop and …, 2019 | 68* | 2019 |
Kernel graph convolutional neural networks G Nikolentzos, P Meladianos, AJP Tixier, K Skianis, M Vazirgiannis Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 62 | 2018 |
Rep the set: Neural networks for learning set representations K Skianis, G Nikolentzos, S Limnios, M Vazirgiannis International conference on artificial intelligence and statistics, 1410-1420, 2020 | 45 | 2020 |
An optimization approach for sub-event detection and summarization in twitter P Meladianos, C Xypolopoulos, G Nikolentzos, M Vazirgiannis Advances in Information Retrieval: 40th European Conference on IR Research …, 2018 | 40 | 2018 |
Learning structural node representations using graph kernels G Nikolentzos, M Vazirgiannis IEEE transactions on knowledge and data engineering 33 (5), 2045-2056, 2019 | 32 | 2019 |
K-hop graph neural networks G Nikolentzos, G Dasoulas, M Vazirgiannis Neural Networks 130, 195-205, 2020 | 29 | 2020 |
Multivariate gaussian document representation from word embeddings for text categorization G Nikolentzos, P Meladianos, F Rousseau, Y Stavrakas, M Vazirgiannis Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 27 | 2017 |
Real-time keyword extraction from conversations P Meladianos, A Tixier, I Nikolentzos, M Vazirgiannis Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 20 | 2017 |
Path neural networks: Expressive and accurate graph neural networks G Michel, G Nikolentzos, JF Lutzeyer, M Vazirgiannis International Conference on Machine Learning, 24737-24755, 2023 | 18 | 2023 |
GraphRep: boosting text mining, NLP and information retrieval with graphs M Vazirgiannis, FD Malliaros, G Nikolentzos Proceedings of the 27th ACM International Conference on Information and …, 2018 | 16 | 2018 |
EvoNet: A neural network for predicting the evolution of dynamic graphs C Wu, G Nikolentzos, M Vazirgiannis Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020 | 15 | 2020 |