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ORCIDGiannis Nikolentzos
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2020 – today
- 2024
[i29]Giannis Nikolentzos, Siyun Wang, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Graph Neural Machine: A New Model for Learning with Tabular Data. CoRR abs/2402.02862 (2024)- [i28]Iakovos Evdaimon, Giannis Nikolentzos, Michail Chatzianastasis, Hadi Abdine, Michalis Vazirgiannis:
Neural Graph Generator: Feature-Conditioned Graph Generation using Latent Diffusion Models. CoRR abs/2403.01535 (2024) - [i27]Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis:
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning. CoRR abs/2406.18380 (2024) - [i26]Iakovos Evdaimon, John P. A. Ioannidis, Giannis Nikolentzos, Michail Chatzianastasis, George Panagopoulos, Michalis Vazirgiannis:
Metrics to Detect Small-Scale and Large-Scale Citation Orchestration. CoRR abs/2406.19219 (2024) - [i25]Nikolaos Nakis, Chrysoula Kosma, Giannis Nikolentzos, Michail Chatzianastasis, Iakovos Evdaimon, Michalis Vazirgiannis:
Signed Graph Autoencoder for Explainable and Polarization-Aware Network Embeddings. CoRR abs/2409.10452 (2024) - 2023
- [j8]Giannis Nikolentzos
, Michalis Vazirgiannis, Christos Xypolopoulos, Markus Lingman, Erik G. Brandt:
Synthetic electronic health records generated with variational graph autoencoders. npj Digit. Medicine 6 (2023) - [j7]Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis:
Permute Me Softly: Learning Soft Permutations for Graph Representations. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5087-5098 (2023) - [j6]Chrysoula Kosma, Giannis Nikolentzos, George Panagopoulos, Jean-Marc Steyaert, Michalis Vazirgiannis:
Neural Ordinary Differential Equations for Modeling Epidemic Spreading. Trans. Mach. Learn. Res. 2023 (2023) - [c34]Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis:
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations. AISTATS 2023: 1037-1054 - [c33]Giannis Nikolentzos, Michalis Vazirgiannis:
Graph Alignment Kernels using Weisfeiler and Leman Hierarchies. AISTATS 2023: 2019-2034 - [c32]Giannis Nikolentzos, Michalis Vazirgiannis:
Geometric Random Walk Graph Neural Networks via Implicit Layers. AISTATS 2023: 2035-2053 - [c31]Sofiane Ennadir, Amr Alkhatib, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström:
UnboundAttack: Generating Unbounded Adversarial Attacks to Graph Neural Networks. COMPLEX NETWORKS (1) 2023: 100-111 - [c30]Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis:
Supervised Attention Using Homophily in Graph Neural Networks. ICANN (4) 2023: 576-586 - [c29]Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Path Neural Networks: Expressive and Accurate Graph Neural Networks. ICML 2023: 24737-24755 - [i24]Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis:
What Do GNNs Actually Learn? Towards Understanding their Representations. CoRR abs/2304.10851 (2023) - [i23]Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Path Neural Networks: Expressive and Accurate Graph Neural Networks. CoRR abs/2306.05955 (2023) - [i22]Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis:
Supervised Attention Using Homophily in Graph Neural Networks. CoRR abs/2307.05217 (2023) - [i21]Chrysoula Kosma, Giannis Nikolentzos, Michalis Vazirgiannis:
Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series. CoRR abs/2308.03210 (2023) - 2022
- [c28]Chrysoula Kosma, Giannis Nikolentzos, Nancy Xu, Michalis Vazirgiannis:
Time Series Forecasting Models Copy the Past: How to Mitigate. ICANN (1) 2022: 366-378 - [c27]Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis:
Mass Enhanced Node Embeddings for Drug Repurposing. SETN 2022: 5:1-5:5 - [i20]Nancy Xu, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström:
Image Keypoint Matching using Graph Neural Networks. CoRR abs/2205.14275 (2022) - [i19]Chrysoula Kosma, Giannis Nikolentzos, Nancy Xu, Michalis Vazirgiannis:
Time Series Forecasting Models Copy the Past: How to Mitigate. CoRR abs/2207.13441 (2022) - [i18]Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis:
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations. CoRR abs/2211.02501 (2022) - 2021
- [j5]Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis:
Graph Kernels: A Survey. J. Artif. Intell. Res. 72: 943-1027 (2021) - [j4]Giannis Nikolentzos, Michalis Vazirgiannis:
Learning Structural Node Representations Using Graph Kernels. IEEE Trans. Knowl. Data Eng. 33(5): 2045-2056 (2021) - [c26]George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis:
Transfer Graph Neural Networks for Pandemic Forecasting. AAAI 2021: 4838-4845 - [c25]Nancy Xu, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström:
Image Keypoint Matching Using Graph Neural Networks. COMPLEX NETWORKS 2021: 441-451 - [c24]Giannis Nikolentzos, George Panagopoulos, Michalis Vazirgiannis:
An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks. ICANN (3) 2021: 139-150 - [c23]George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-Based Entropy Measures for Structural Representations on Graphs. ICASSP 2021: 3210-3214 - [p1]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 - [i17]George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-based Entropy Measures for Structural Representations on Graphs. CoRR abs/2102.08735 (2021) - [i16]Giannis Nikolentzos, George Panagopoulos, Iakovos Evdaimon, Michalis Vazirgiannis:
Can Author Collaboration Reveal Impact? The Case of h-index. CoRR abs/2104.05562 (2021) - [i15]Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis:
Permute Me Softly: Learning Soft Permutations for Graph Representations. CoRR abs/2110.01872 (2021) - [i14]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
- [j3]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) - [j2]Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis:
k-hop graph neural networks. Neural Networks 130: 195-205 (2020) - [c22]Giannis Nikolentzos, Antoine J.-P. Tixier, Michalis Vazirgiannis:
Message Passing Attention Networks for Document Understanding. AAAI 2020: 8544-8551 - [c21]Konstantinos Skianis, Giannis Nikolentzos, Stratis Limnios, Michalis Vazirgiannis:
Rep the Set: Neural Networks for Learning Set Representations. AISTATS 2020: 1410-1420 - [c20]Virgile Rennard, Giannis Nikolentzos, Michalis Vazirgiannis:
Graph Auto-Encoders for Learning Edge Representations. COMPLEX NETWORKS (2) 2020: 117-129 - [c19]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 - [c18]Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis:
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs. ICANN (1) 2020: 594-606 - [c17]Giannis Nikolentzos, Michalis Vazirgiannis:
Random Walk Graph Neural Networks. NeurIPS 2020 - [i13]George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-based Entropy Measures for Structural Representations. CoRR abs/2003.00553 (2020) - [i12]Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis:
EvoNet: A Neural Network for Predicting the Evolution of Dynamic Graphs. CoRR abs/2003.00842 (2020) - [i11]George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis:
United We Stand: Transfer Graph Neural Networks for Pandemic Forecasting. CoRR abs/2009.08388 (2020)
2010 – 2019
- 2019
- [j1]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) - [c16]Michalis Vazirgiannis, Giannis Nikolentzos, Giannis Siglidis:
Machine Learning on Graphs with Kernels. CIKM 2019: 2983-2984 - [c15]Changmin Wu, Giannis Nikolentzos, Michalis Vazirgiannis:
Matching Node Embeddings Using Valid Assignment Kernels. COMPLEX NETWORKS (1) 2019: 810-821 - [c14]Antoine J.-P. Tixier, Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis:
Graph Classification with 2D Convolutional Neural Networks. ICANN (Workshop) 2019: 578-593 - [i10]Konstantinos Skianis, Giannis Nikolentzos, Stratis Limnios, Michalis Vazirgiannis:
Rep the Set: Neural Networks for Learning Set Representations. CoRR abs/1904.01962 (2019) - [i9]Giannis Nikolentzos, Giannis Siglidis, Michalis Vazirgiannis:
Graph Kernels: A Survey. CoRR abs/1904.12218 (2019) - [i8]Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis:
k-hop Graph Neural Networks. CoRR abs/1907.06051 (2019) - [i7]Giannis Nikolentzos, Antoine J.-P. Tixier, Michalis Vazirgiannis:
Message Passing Attention Networks for Document Understanding. CoRR abs/1908.06267 (2019) - [i6]Giannis Nikolentzos, Michalis Vazirgiannis:
Revisiting the Graph Isomorphism Problem with Semidefinite Programming. CoRR abs/1908.06320 (2019) - 2018
- [c13]Giannis Nikolentzos, Michalis Vazirgiannis:
Enhancing Graph Kernels via Successive Embeddings. CIKM 2018: 1583-1586 - [c12]Michalis Vazirgiannis, Fragkiskos D. Malliaros, Giannis Nikolentzos:
GraphRep: Boosting Text Mining, NLP and Information Retrieval with Graphs. CIKM 2018: 2295-2296 - [c11]Niklas Steenfatt, Giannis Nikolentzos, Michalis Vazirgiannis, Qiang Zhao:
Learning Structural Node Representations on Directed Graphs. COMPLEX NETWORKS (2) 2018: 132-144 - [c10]Polykarpos Meladianos, Christos Xypolopoulos, Giannis Nikolentzos, Michalis Vazirgiannis:
An Optimization Approach for Sub-event Detection and Summarization in Twitter. ECIR 2018: 481-493 - [c9]Giannis Nikolentzos, Polykarpos Meladianos, Antoine Jean-Pierre Tixier, Konstantinos Skianis, Michalis Vazirgiannis:
Kernel Graph Convolutional Neural Networks. ICANN (1) 2018: 22-32 - [c8]Giannis Nikolentzos, Polykarpos Meladianos, Stratis Limnios, Michalis Vazirgiannis:
A Degeneracy Framework for Graph Similarity. IJCAI 2018: 2595-2601 - [i5]Giannis Siglidis, Giannis Nikolentzos, Stratis Limnios, Christos Giatsidis, Konstantinos Skianis, Michalis Vazirgiannis:
GraKeL: A Graph Kernel Library in Python. CoRR abs/1806.02193 (2018) - [i4]Giannis Nikolentzos, Michalis Vazirgiannis:
Message Passing Graph Kernels. CoRR abs/1808.02510 (2018) - 2017
- [b1]Giannis Nikolentzos:
Machine learning on graphs: algorithms and applications. Athens University Economics and Business, Greece, 2017 - [c7]Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis:
Matching Node Embeddings for Graph Similarity. AAAI 2017: 2429-2435 - [c6]Giannis Nikolentzos, Polykarpos Meladianos, François Rousseau, Yannis Stavrakas, Michalis Vazirgiannis:
Multivariate Gaussian Document Representation from Word Embeddings for Text Categorization. EACL (2) 2017: 450-455 - [c5]Polykarpos Meladianos, Antoine J.-P. Tixier, Giannis Nikolentzos, Michalis Vazirgiannis:
Real-Time Keyword Extraction from Conversations. EACL (2) 2017: 462-467 - [c4]Giannis Nikolentzos, Polykarpos Meladianos, François Rousseau, Yannis Stavrakas, Michalis Vazirgiannis:
Shortest-Path Graph Kernels for Document Similarity. EMNLP 2017: 1890-1900 - [c3]Giannis Nikolentzos, Polykarpos Meladianos, Yannis Stavrakas, Michalis Vazirgiannis:
K-Clique-Graphs for Dense Subgraph Discovery. ECML/PKDD (1) 2017: 617-633 - [i3]Antoine Jean-Pierre Tixier, Giannis Nikolentzos, Polykarpos Meladianos, Michalis Vazirgiannis:
Classifying Graphs as Images with Convolutional Neural Networks. CoRR abs/1708.02218 (2017) - [i2]Giannis Nikolentzos, Polykarpos Meladianos, Antoine Jean-Pierre Tixier, Konstantinos Skianis, Michalis Vazirgiannis:
Kernel Graph Convolutional Neural Networks. CoRR abs/1710.10689 (2017) - 2016
- [i1]Giannis Nikolentzos, Polykarpos Meladianos, Yannis Stavrakas, Michalis Vazirgiannis:
K-clique-graphs for Dense Subgraph Discovery. CoRR abs/1610.06008 (2016) - 2015
- [c2]Polykarpos Meladianos, Giannis Nikolentzos, François Rousseau, Yannis Stavrakas, Michalis Vazirgiannis:
Degeneracy-Based Real-Time Sub-Event Detection in Twitter Stream. ICWSM 2015: 248-257 - [c1]Giannis Nikolentzos, Polykarpos Meladianos, Nektarios Liakis, Michalis Vazirgiannis:
AUEB at TREC 2015: Clinical Decision Support Track. TREC 2015
Coauthor Index
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