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2020 – today
- 2023
[i74]Michail Chatzianastasis, Michalis Vazirgiannis, Zijun Zhang:
Explainable Multilayer Graph Neural Network for Cancer Gene Prediction. CoRR abs/2301.08831 (2023)- 2022
- [j57]Guillaume Salha-Galvan
, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis:
Modularity-aware graph autoencoders for joint community detection and link prediction. Neural Networks 153: 474-495 (2022) - [j56]George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
Multi-Task Learning for Influence Estimation and Maximization. IEEE Trans. Knowl. Data Eng. 34(9): 4398-4409 (2022) - [c175]Moussa Kamal Eddine, Guokan Shang, Antoine J.-P. Tixier, Michalis Vazirgiannis:
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metrics for Automatic Text Generation. ACL (1) 2022: 1305-1318 - [c174]Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Node Feature Kernels Increase Graph Convolutional Network Robustness. AISTATS 2022: 6225-6241 - [c173]Yanzhu Guo, Chloé Clavel, Moussa Kamal Eddine, Michalis Vazirgiannis:
Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency. EMNLP 2022: 5716-5727 - [c172]Chrysoula Kosma, Giannis Nikolentzos, Nancy Xu, Michalis Vazirgiannis:
Time Series Forecasting Models Copy the Past: How to Mitigate. ICANN (1) 2022: 366-378 - [c171]Hadi Abdine, Yanzhu Guo, Virgile Rennard, Michalis Vazirgiannis:
Political Communities on Twitter: Case Study of the 2022 French Presidential Election. PoliticalNLP@LREC 2022: 62-71 - [c170]Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis:
Mass Enhanced Node Embeddings for Drug Repurposing. SETN 2022: 5:1-5:5 - [i73]George Panagopoulos, Michalis Vazirgiannis:
Exploratory Analysis of Academic Collaborations between French and US. CoRR abs/2201.01346 (2022) - [i72]Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis:
Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction. CoRR abs/2202.00961 (2022) - [i71]Moussa Kamal Eddine, Nadi Tomeh, Nizar Habash, Joseph Le Roux, Michalis Vazirgiannis:
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization. CoRR abs/2203.10945 (2022) - [i70]Michail Chatzianastasis, Johannes F. Lutzeyer, George Dasoulas, Michalis Vazirgiannis:
Graph Ordering Attention Networks. CoRR abs/2204.05351 (2022) - [i69]Hadi Abdine, Yanzhu Guo, Virgile Rennard, Michalis Vazirgiannis:
Political Communities on Twitter: Case Study of the 2022 French Presidential Election. CoRR abs/2204.07436 (2022) - [i68]Nancy Xu, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström:
Image Keypoint Matching using Graph Neural Networks. CoRR abs/2205.14275 (2022) - [i67]Chrysoula Kosma, Giannis Nikolentzos, Nancy Xu, Michalis Vazirgiannis:
Time Series Forecasting Models Copy the Past: How to Mitigate. CoRR abs/2207.13441 (2022) - [i66]Virgile Rennard, Guokan Shang, Julie Hunter, Michalis Vazirgiannis:
Abstractive Meeting Summarization: A Survey. CoRR abs/2208.04163 (2022) - [i65]Hadi Abdine, Moussa Kamal Eddine, Michalis Vazirgiannis, Davide Buscaldi:
Word Sense Induction with Hierarchical Clustering and Mutual Information Maximization. CoRR abs/2210.05422 (2022) - [i64]Moussa Kamal Eddine, Guokan Shang, Michalis Vazirgiannis:
DATScore: Evaluating Translation with Data Augmented Translations. CoRR abs/2210.06576 (2022) - [i63]Yanzhu Guo, Chloé Clavel, Moussa Kamal Eddine, Michalis Vazirgiannis:
Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency. CoRR abs/2210.17378 (2022) - [i62]Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis:
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations. CoRR abs/2211.02501 (2022) - [i61]Ariel R. Ramos Vela, Johannes F. Lutzeyer, Anastasios Giovanidis, Michalis Vazirgiannis:
Improving Graph Neural Networks at Scale: Combining Approximate PageRank and CoreRank. CoRR abs/2211.04248 (2022) - [i60]Guillaume Salha-Galvan, Johannes F. Lutzeyer, George Dasoulas, Romain Hennequin, Michalis Vazirgiannis:
New Frontiers in Graph Autoencoders: Joint Community Detection and Link Prediction. CoRR abs/2211.08972 (2022) - 2021
- [j55]Sammy Khalife, Jesse Read, Michalis Vazirgiannis:
Structure and influence in a global capital-ownership network. Appl. Netw. Sci. 6(1): 16 (2021) - [j54]Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis:
Graph Kernels: A Survey. J. Artif. Intell. Res. 72: 943-1027 (2021) - [j53]Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis:
FastGAE: Scalable graph autoencoders with stochastic subgraph decoding. Neural Networks 142: 1-19 (2021) - [j52]Giannis Nikolentzos, Michalis Vazirgiannis:
Learning Structural Node Representations Using Graph Kernels. IEEE Trans. Knowl. Data Eng. 33(5): 2045-2056 (2021) - [c169]George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis:
Transfer Graph Neural Networks for Pandemic Forecasting. AAAI 2021: 4838-4845 - [c168]Yanzhu Guo, Virgile Rennard, Christos Xypolopoulos, Michalis Vazirgiannis:
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets. W-NUT 2021: 445-450 - [c167]Nancy Xu, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström:
Image Keypoint Matching Using Graph Neural Networks. COMPLEX NETWORKS 2021: 441-451 - [c166]Christos Xypolopoulos, Antoine J.-P. Tixier, Michalis Vazirgiannis:
Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings. EACL 2021: 3391-3401 - [c165]Moussa Kamal Eddine, Antoine J.-P. Tixier, Michalis Vazirgiannis:
BARThez: a Skilled Pretrained French Sequence-to-Sequence Model. EMNLP (1) 2021: 9369-9390 - [c164]Giannis Nikolentzos, George Panagopoulos, Michalis Vazirgiannis:
An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks. ICANN (3) 2021: 139-150 - [c163]George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-Based Entropy Measures for Structural Representations on Graphs. ICASSP 2021: 3210-3214 - [c162]Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis:
Graph-based Neural Architecture Search with Operation Embeddings. ICCVW 2021: 393-402 - [c161]George Dasoulas, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Learning Parametrised Graph Shift Operators. ICLR 2021 - [c160]Nikolaos Tziortziotis, Yang Qiu, Martial Hue, Michalis Vazirgiannis:
Audience expansion based on user browsing history. IJCNN 2021: 1-8 - [c159]Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis:
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders. RecSys 2021: 443-452 - [p7]Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon, Michalis Vazirgiannis:
Can Author Collaboration Reveal Impact? The Case of h-index. Predicting the Dynamics of Research Impact 2021: 177-194 - [i59]George Dasoulas, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Learning Parametrised Graph Shift Operators. CoRR abs/2101.10050 (2021) - [i58]Yanzhu Guo, Christos Xypolopoulos, Michalis Vazirgiannis:
How COVID-19 Is Changing Our Language : Detecting Semantic Shift in Twitter Word Embeddings. CoRR abs/2102.07836 (2021) - [i57]George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-based Entropy Measures for Structural Representations on Graphs. CoRR abs/2102.08735 (2021) - [i56]Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon, Michalis Vazirgiannis:
Can Author Collaboration Reveal Impact? The Case of h-index. CoRR abs/2104.05562 (2021) - [i55]Hadi Abdine, Christos Xypolopoulos, Moussa Kamal Eddine, Michalis Vazirgiannis:
Evaluation Of Word Embeddings From Large-Scale French Web Content. CoRR abs/2105.01990 (2021) - [i54]Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis:
Operation Embeddings for Neural Architecture Search. CoRR abs/2105.04885 (2021) - [i53]Guillaume Salha-Galvan, Romain Hennequin, Benjamin Chapus, Viet-Anh Tran, Michalis Vazirgiannis:
Cold Start Similar Artists Ranking with Gravity-Inspired Graph Autoencoders. CoRR abs/2108.01053 (2021) - [i52]George Panagopoulos, Nikolaos Tziortziotis, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
Learning to Maximize Influence. CoRR abs/2108.04623 (2021) - [i51]Johannes F. Lutzeyer, Changmin Wu, Michalis Vazirgiannis:
Sparsifying the Update Step in Graph Neural Networks. CoRR abs/2109.00909 (2021) - [i50]Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Node Feature Kernels Increase Graph Convolutional Network Robustness. CoRR abs/2109.01785 (2021) - [i49]Yanzhu Guo, Virgile Rennard, Christos Xypolopoulos, Michalis Vazirgiannis:
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets. CoRR abs/2109.10234 (2021) - [i48]Stella Douka, Hadi Abdine, Michalis Vazirgiannis, Rajaa El Hamdani, David Restrepo Amariles:
JuriBERT: A Masked-Language Model Adaptation for French Legal Text. CoRR abs/2110.01485 (2021) - [i47]Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis:
Permute Me Softly: Learning Soft Permutations for Graph Representations. CoRR abs/2110.01872 (2021) - [i46]Moussa Kamal Eddine, Guokan Shang, Antoine J.-P. Tixier, Michalis Vazirgiannis:
FrugalScore: Learning Cheaper, Lighter and Faster Evaluation Metricsfor Automatic Text Generation. CoRR abs/2110.08559 (2021) - [i45]Hadi Abdine, Yanzhu Guo, Moussa Kamal Eddine, Giannis Nikolentzos, Stamatis Outsios, Guokan Shang, Christos Xypolopoulos, Michalis Vazirgiannis:
NLP Research and Resources at DaSciM, Ecole Polytechnique. CoRR abs/2112.00566 (2021) - 2020
- [j51]Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios, Christos Giatsidis, Konstantinos Skianis, Michalis Vazirgiannis:
GraKeL: A Graph Kernel Library in Python. J. Mach. Learn. Res. 21: 54:1-54:5 (2020) - [j50]Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis:
k-hop graph neural networks. Neural Networks 130: 195-205 (2020) - [j49]Fragkiskos D. Malliaros, Christos Giatsidis, Apostolos N. Papadopoulos, Michalis Vazirgiannis:
The core decomposition of networks: theory, algorithms and applications. VLDB J. 29(1): 61-92 (2020) - [c158]Giannis Nikolentzos, Antoine J.-P. Tixier, Michalis Vazirgiannis:
Message Passing Attention Networks for Document Understanding. AAAI 2020: 8544-8551 - [c157]Konstantinos Skianis, Giannis Nikolentzos, Stratis Limnios, Michalis Vazirgiannis:
Rep the Set: Neural Networks for Learning Set Representations. AISTATS 2020: 1410-1420 - [c156]Guokan Shang, Antoine J.-P. Tixier, Michalis Vazirgiannis, Jean-Pierre Lorré:
Speaker-change Aware CRF for Dialogue Act Classification. COLING 2020: 450-464 - [c155]Alexios Mandalios, Alexandros Chortaras, Giorgos Stamou, Michalis Vazirgiannis:
Enriching Graph Representations of Text: Application to Medical Text Classification. COMPLEX NETWORKS (2) 2020: 92-103 - [c154]Virgile Rennard, Giannis Nikolentzos, Michalis Vazirgiannis:
Graph Auto-Encoders for Learning Edge Representations. COMPLEX NETWORKS (2) 2020: 117-129 - [c153]Giannis Nikolentzos, Michalis Thomas, Adín Ramírez Rivera, Michalis Vazirgiannis:
Image Classification Using Graph-Based Representations and Graph Neural Networks. COMPLEX NETWORKS (2) 2020: 142-153 - [c152]Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis:
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs. ICANN (1) 2020: 594-606 - [c151]Konstantinos Skianis, Fragkiskos D. Malliaros, Nikolaos Tziortziotis, Michalis Vazirgiannis:
Boosting Tricks for Word Mover's Distance. ICANN (2) 2020: 761-772 - [c150]Stratis Limnios, George Dasoulas, Dimitrios M. Thilikos, Michalis Vazirgiannis:
Hcore-Init: Neural Network Initialization based on Graph Degeneracy. ICPR 2020: 5852-5858 - [c149]George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
Influence Maximization Using Influence and Susceptibility Embeddings. ICWSM 2020: 511-521 - [c148]Guokan Shang, Antoine J.-P. Tixier, Michalis Vazirgiannis, Jean-Pierre Lorré:
Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding. AACL/IJCNLP 2020: 313-327 - [c147]Paul Boniol, George Panagopoulos, Christos Xypolopoulos, Rajaa El Hamdani, David Restrepo Amariles, Michalis Vazirgiannis:
Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France. NLLP@KDD 2020: 11-17 - [c146]Stamatis Outsios, Christos Karatsalos, Konstantinos Skianis, Michalis Vazirgiannis:
Evaluation of Greek Word Embeddings. LREC 2020: 2543-2551 - [c145]Giannis Nikolentzos, Michalis Vazirgiannis:
Random Walk Graph Neural Networks. NeurIPS 2020 - [c144]Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis:
Simple and Effective Graph Autoencoders with One-Hop Linear Models. ECML/PKDD (1) 2020: 319-334 - [i44]Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis:
Simple and Effective Graph Autoencoders with One-Hop Linear Models. CoRR abs/2001.07614 (2020) - [i43]Guillaume Salha, Romain Hennequin, Jean-Baptiste Remy, Manuel Moussallam, Michalis Vazirgiannis:
FastGAE: Fast, Scalable and Effective Graph Autoencoders with Stochastic Subgraph Decoding. CoRR abs/2002.01910 (2020) - [i42]George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-based Entropy Measures for Structural Representations. CoRR abs/2003.00553 (2020) - [i41]Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis:
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs. CoRR abs/2003.00842 (2020) - [i40]Christos Xypolopoulos, Antoine J.-P. Tixier, Michalis Vazirgiannis:
Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings. CoRR abs/2003.10224 (2020) - [i39]Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis, Jean-Pierre Lorré:
Speaker-change Aware CRF for Dialogue Act Classification. CoRR abs/2004.02913 (2020) - [i38]Stratis Limnios, George Dasoulas, Dimitrios M. Thilikos, Michalis Vazirgiannis:
Hcore-Init: Neural Network Initialization based on Graph Degeneracy. CoRR abs/2004.07636 (2020) - [i37]Paul Boniol, George Panagopoulos, Christos Xypolopoulos, Rajaa El Hamdani, David Restrepo Amariles, Michalis Vazirgiannis:
Performance in the Courtroom: Automated Processing and Visualization of Appeal Court Decisions in France. CoRR abs/2006.06251 (2020) - [i36]Yang Qiu, Nikolaos Tziortziotis, Martial Hue, Michalis Vazirgiannis:
Predicting conversions in display advertising based on URL embeddings. CoRR abs/2008.12003 (2020) - [i35]George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis:
United We Stand: Transfer Graph Neural Networks for Pandemic Forecasting. CoRR abs/2009.08388 (2020) - [i34]Moussa Kamal Eddine, Antoine J.-P. Tixier, Michalis Vazirgiannis:
BARThez: a Skilled Pretrained French Sequence-to-Sequence Model. CoRR abs/2010.12321 (2020)
2010 – 2019
- 2019
- [j48]Christos Giatsidis, Giannis Nikolentzos, Chenhui Zhang, Jie Tang, Michalis Vazirgiannis:
Rooted citation graphs density metrics for research papers influence evaluation. J. Informetrics 13(2): 757-768 (2019) - [j47]Jordi Casas-Roma, Julián Salas, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
k-Degree anonymity on directed networks. Knowl. Inf. Syst. 61(3): 1743-1768 (2019) - [j46]Jesse Read, Nikolaos Tziortziotis, Michalis Vazirgiannis:
Error-space representations for multi-dimensional data streams with temporal dependence. Pattern Anal. Appl. 22(3): 1211-1220 (2019) - [c143]Antoine J.-P. Tixier, Maria-Evgenia G. Rossi, Fragkiskos D. Malliaros, Jesse Read, Michalis Vazirgiannis:
Perturb and combine to identify influential spreaders in real-world networks. ASONAM 2019: 73-80 - [c142]Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
Gravity-Inspired Graph Autoencoders for Directed Link Prediction. CIKM 2019: 589-598 - [c141]Michalis Vazirgiannis, Giannis Nikolentzos, Giannis Siglidis:
Machine Learning on Graphs with Kernels. CIKM 2019: 2983-2984 - [c140]Sammy Khalife, Jesse Read, Michalis Vazirgiannis:
Empirical Analysis of a Global Capital-Ownership Network. COMPLEX NETWORKS (2) 2019: 656-667 - [c139]Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis:
Matching Node Embeddings Using Valid Assignment Kernels. COMPLEX NETWORKS (1) 2019: 810-821 - [c138]George Panagopoulos, Christos Xypolopoulos, Konstantinos Skianis, Christos Giatsidis, Jie Tang, Michalis Vazirgiannis:
Scientometrics for Success and Influence in the Microsoft Academic Graph. COMPLEX NETWORKS (2) 2019: 1007-1017 - [c137]Antoine J.-P. Tixier, Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis:
Graph Classification with 2D Convolutional Neural Networks. ICANN (Workshop) 2019: 578-593 - [c136]Guillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
A Degeneracy Framework for Scalable Graph Autoencoders. IJCAI 2019: 3353-3359 - [c135]Sammy Khalife, Leo Liberti, Michalis Vazirgiannis:
Geometry and Analogies: A Study and Propagation Method for Word Representations. SLSP 2019: 100-111 - [c134]Sammy Khalife, Michalis Vazirgiannis:
Scalable graph-based method for individual named entity identification. TextGraphs@EMNLP 2019: 17-25 - [e5]Dmitry Ustalov, Swapna Somasundaran, Peter Jansen, Goran Glavas, Martin Riedl, Mihai Surdeanu, Michalis Vazirgiannis:
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing, TextGraphs@EMNLP 2019, Hong Kong, November 4, 2019. Association for Computational Linguistics 2019, ISBN 978-1-950737-86-4 [contents] - [i33]Guillaume Salha, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
A Degeneracy Framework for Scalable Graph Autoencoders. CoRR abs/1902.08813 (2019) - [i32]Konstantinos Skianis, Giannis Nikolentzos, Stratis Limnios, Michalis Vazirgiannis:
Rep the Set: Neural Networks for Learning Set Representations. CoRR abs/1904.01962 (2019) - [i31]Nikolaos Tziortziotis, Christos Dimitrakakis, Michalis Vazirgiannis:
Randomised Bayesian Least-Squares Policy Iteration. CoRR abs/1904.03535 (2019) - [i30]Stamatis Outsios, Christos Karatsalos, Konstantinos Skianis, Michalis Vazirgiannis:
Evaluation of Greek Word Embeddings. CoRR abs/1904.04032 (2019) - [i29]George Panagopoulos, Michalis Vazirgiannis, Fragkiskos D. Malliaros:
Influence Maximization via Representation Learning. CoRR abs/1904.08804 (2019) - [i28]Guokan Shang, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis, Jean-Pierre Lorré:
Energy-based Self-attentive Learning of Abstractive Communities for Spoken Language Understanding. CoRR abs/1904.09491 (2019) - [i27]Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis:
Graph Kernels: A Survey. CoRR abs/1904.12218 (2019) - [i26]Guillaume Salha, Stratis Limnios, Romain Hennequin, Viet-Anh Tran, Michalis Vazirgiannis:
Gravity-Inspired Graph Autoencoders for Directed Link Prediction. CoRR abs/1905.09570 (2019) - [i25]Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis:
k-hop Graph Neural Networks. CoRR abs/1907.06051 (2019) - [i24]Jean-Pierre Lorré, Isabelle Ferrané, Francisco Madrigal, Michalis Vazirgiannis, Christophe Bourguignat:
LinTO : Assistant vocal open-source respectueux des données personnelles pour les réunions d'entreprise. CoRR abs/1907.09334 (2019) - [i23]Jean-Baptiste Remy, Antoine Jean-Pierre Tixier, Michalis Vazirgiannis:
Bidirectional Context-Aware Hierarchical Attention Network for Document Understanding. CoRR abs/1908.06006 (2019) - [i22]Giannis Nikolentzos, Antoine J.-P. Tixier, Michalis Vazirgiannis:
Message Passing Attention Networks for Document Understanding. CoRR abs/1908.06267 (2019) - [i21]Giannis Nikolentzos, Michalis Vazirgiannis:
Revisiting the Graph Isomorphism Problem with Semidefinite Programming. CoRR abs/1908.06320 (2019) - [i20]Guillaume Salha, Romain Hennequin, Michalis Vazirgiannis:
Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks. CoRR abs/1910.00942 (2019) - [i19]Michalis Lioudakis, Stamatis Outsios, Michalis Vazirgiannis:
An Ensemble Method for Producing Word Representations for the Greek Language. CoRR abs/1912.04965 (2019) - 2018
- [j45]François Rousseau, Jordi Casas-Roma, Michalis Vazirgiannis:
Community-preserving anonymization of graphs. Knowl. Inf. Syst. 54(2): 315-343 (2018) - [c133]Guokan Shang, Wensi Ding, Zekun Zhang, Antoine J.-P. Tixier, Polykarpos Meladianos, Michalis Vazirgiannis, Jean-Pierre Lorré:
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization. ACL (1) 2018: 664-674 - [c132]Konstantinos Skianis, Nikolaos Tziortziotis, Michalis Vazirgiannis:
Orthogonal Matching Pursuit for Text Classification. NUT@EMNLP 2018: 93-103 - [c131]Guillaume Salha, Nikolaos Tziortziotis, Michalis Vazirgiannis:
Adaptive Submodular Influence Maximization with Myopic Feedback. ASONAM 2018: 455-462 - [c130]Giannis Nikolentzos, Michalis Vazirgiannis:
Enhancing Graph Kernels via Successive Embeddings. CIKM 2018: 1583-1586 - [c129]Michalis Vazirgiannis, Fragkiskos D. Malliaros, Giannis Nikolentzos:
GraphRep: Boosting Text Mining, NLP and Information Retrieval with Graphs. CIKM 2018: 2295-2296 - [c128]Niklas Steenfatt, Giannis Nikolentzos, Michalis Vazirgiannis, Qiang Zhao:
Learning Structural Node Representations on Directed Graphs. COMPLEX NETWORKS (2) 2018: 132-144 - [c127]George Panagopoulos, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
DiffuGreedy: An Influence Maximization Algorithm Based on Diffusion Cascades. COMPLEX NETWORKS (1) 2018: 392-404 - [c126]