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Michalis Vazirgiannis
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2020 – today
- 2024
- [j65]Sofiane Ennadir
, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström
:
Generating graph perturbations to enhance the generalization of GNNs. AI Open 5: 216-223 (2024) - [j64]George Panagopoulos, Nikolaos Tziortziotis, Michalis Vazirgiannis, Jun Pang, Fragkiskos D. Malliaros:
Learning graph representations for influence maximization. Soc. Netw. Anal. Min. 14(1): 203 (2024) - [c206]Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos, Michalis Vazirgiannis:
Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers. AAAI 2024: 10757-10765 - [c205]Sofiane Ennadir, Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström:
A Simple and Yet Fairly Effective Defense for Graph Neural Networks. AAAI 2024: 21063-21071 - [c204]Iakovos Evdaimon, Hadi Abdine, Christos Xypolopoulos, Stamatis Outsios, Michalis Vazirgiannis, Giorgos Stamou:
GreekBART: The First Pretrained Greek Sequence-to-Sequence Model. LREC/COLING 2024: 7949-7962 - [c203]Amr Alkhatib, Sofiane Ennadir, Henrik Boström, Michalis Vazirgiannis:
Interpretable Graph Neural Networks for Tabular Data. ECAI 2024: 1848-1855 - [c202]Ashraf Ghiye
, Baptiste Barreau
, Laurent Carlier
, Michalis Vazirgiannis
:
Rolling Forward: Enhancing LightGCN with Causal Graph Convolution for Credit Bond Recommendation. ICAIF 2024: 231-238 - [c201]Yassine Abbahaddou, Sofiane Ennadir, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström:
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks. ICLR 2024 - [c200]Jie Tang
, Yuxiao Dong
, Michalis Vazirgiannis
:
Generative AI Day. KDD 2024: 6699-6700 - [c199]Yanzhu Guo, Guokan Shang, Michalis Vazirgiannis, Chloé Clavel:
The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text. NAACL-HLT (Findings) 2024: 3589-3604 - [c198]Sofiane Ennadir, Johannes F. Lutzeyer, Michalis Vazirgiannis, El Houcine Bergou:
If You Want to Be Robust, Be Wary of Initialization. NeurIPS 2024 - [i108]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) - [i107]Sofiane Ennadir, Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström:
A Simple and Yet Fairly Effective Defense for Graph Neural Networks. CoRR abs/2402.13987 (2024) - [i106]Hugo Schnoering, Pierre Porthaux, Michalis Vazirgiannis:
Assessing the Efficacy of Heuristic-Based Address Clustering for Bitcoin. CoRR abs/2403.00523 (2024) - [i105]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) - [i104]Yassine Abbahaddou, Sofiane Ennadir, Johannes F. Lutzeyer, Michalis Vazirgiannis, Henrik Boström:
Bounding the Expected Robustness of Graph Neural Networks Subject to Node Feature Attacks. CoRR abs/2404.17947 (2024) - [i103]Virgile Rennard, Guokan Shang, Michalis Vazirgiannis, Julie Hunter:
Leveraging Discourse Structure for Extractive Meeting Summarization. CoRR abs/2405.11055 (2024) - [i102]Amr Alkhatib, Henrik Boström, Michalis Vazirgiannis:
Explaining Predictions by Characteristic Rules. CoRR abs/2405.21003 (2024) - [i101]Michail Chatzianastasis, George Dasoulas, Michalis Vazirgiannis:
Geometric Self-Supervised Pretraining on 3D Protein Structures using Subgraphs. CoRR abs/2406.14142 (2024) - [i100]Roman Bresson, Giannis Nikolentzos, George Panagopoulos, Michail Chatzianastasis, Jun Pang, Michalis Vazirgiannis:
KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning. CoRR abs/2406.18380 (2024) - [i99]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) - [i98]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) - [i97]Konstantinos Skianis, Giannis Nikolentzos, Michalis Vazirgiannis:
Graph Reasoning with Large Language Models via Pseudo-code Prompting. CoRR abs/2409.17906 (2024) - [i96]Guokan Shang, Hadi Abdine, Yousef Khoubrane, Amr Mohamed, Yassine Abbahaddou, Sofiane Ennadir, Imane Momayiz, Xuguang Ren, Eric Moulines, Preslav Nakov, Michalis Vazirgiannis, Eric P. Xing:
Atlas-Chat: Adapting Large Language Models for Low-Resource Moroccan Arabic Dialect. CoRR abs/2409.17912 (2024) - [i95]Virgile Rennard, Christos Xypolopoulos, Michalis Vazirgiannis:
Bias in the Mirror : Are LLMs opinions robust to their own adversarial attacks ? CoRR abs/2410.13517 (2024) - [i94]Christos Xypolopoulos, Guokan Shang, Xiao Fei, Giannis Nikolentzos, Hadi Abdine, Iakovos Evdaimon, Michail Chatzianastasis, Giorgos Stamou, Michalis Vazirgiannis:
Graph Linearization Methods for Reasoning on Graphs with Large Language Models. CoRR abs/2410.19494 (2024) - [i93]Yassine Abbahaddou, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Graph Neural Networks on Discriminative Graphs of Words. CoRR abs/2410.20469 (2024) - [i92]Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Centrality Graph Shift Operators for Graph Neural Networks. CoRR abs/2411.04655 (2024) - [i91]Yassine Abbahaddou, Sofiane Ennadir, Johannes F. Lutzeyer, Fragkiskos D. Malliaros, Michalis Vazirgiannis:
Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields. CoRR abs/2411.05399 (2024) - [i90]Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Amine Mohamed Aboussalah, Michalis Vazirgiannis:
Gaussian Mixture Models Based Augmentation Enhances GNN Generalization. CoRR abs/2411.08638 (2024) - [i89]Hugo Schnoering, Michalis Vazirgiannis:
Bitcoin Research with a Transaction Graph Dataset. CoRR abs/2411.10325 (2024) - 2023
- [j63]Hadi Abdine
, Moussa Kamal Eddine, Davide Buscaldi
, Michalis Vazirgiannis:
Word sense induction with agglomerative clustering and mutual information maximization. AI Open 4: 193-201 (2023) - [j62]Michail Chatzianastasis
, Michalis Vazirgiannis, Zijun Zhang:
Explainable Multilayer Graph Neural Network for cancer gene prediction. Bioinform. 39(11) (2023) - [j61]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) - [j60]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) - [j59]Virgile Rennard, Guokan Shang, Julie Hunter, Michalis Vazirgiannis:
Abstractive Meeting Summarization: A Survey. Trans. Assoc. Comput. Linguistics 11: 861-884 (2023) - [j58]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) - [c197]Michail Chatzianastasis, Johannes F. Lutzeyer, George Dasoulas, Michalis Vazirgiannis:
Graph Ordering Attention Networks. AAAI 2023: 7006-7014 - [c196]Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis:
Weisfeiler and Leman go Hyperbolic: Learning Distance Preserving Node Representations. AISTATS 2023: 1037-1054 - [c195]Giannis Nikolentzos, Michalis Vazirgiannis:
Graph Alignment Kernels using Weisfeiler and Leman Hierarchies. AISTATS 2023: 2019-2034 - [c194]Giannis Nikolentzos, Michalis Vazirgiannis:
Geometric Random Walk Graph Neural Networks via Implicit Layers. AISTATS 2023: 2035-2053 - [c193]George Panagopoulos
, Nikolaos Tziortziotis
, Michalis Vazirgiannis
, Fragkiskos D. Malliaros
:
Maximizing Influence with Graph Neural Networks. ASONAM 2023: 237-244 - [c192]Nancy Xu, Chrysoula Kosma, Michalis Vazirgiannis:
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting. COMPLEX NETWORKS (1) 2023: 87-99 - [c191]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 - [c190]Sofiane Ennadir, Amr Alkhatib, Henrik Boström, Michalis Vazirgiannis:
Conformalized Adversarial Attack Detection for Graph Neural Networks. COPA 2023: 311-323 - [c189]Moussa Kamal Eddine, Guokan Shang, Michalis Vazirgiannis:
DATScore: Evaluating Translation with Data Augmented Translations. EACL (Findings) 2023: 912-922 - [c188]Virgile Rennard, Guokan Shang, Damien Grari, Julie Hunter, Michalis Vazirgiannis:
FREDSum: A Dialogue Summarization Corpus for French Political Debates. EMNLP (Findings) 2023: 4241-4253 - [c187]Yanzhu Guo, Guokan Shang, Virgile Rennard, Michalis Vazirgiannis, Chloé Clavel:
Automatic Analysis of Substantiation in Scientific Peer Reviews. EMNLP (Findings) 2023: 10198-10216 - [c186]Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis:
Supervised Attention Using Homophily in Graph Neural Networks. ICANN (4) 2023: 576-586 - [c185]Michail Chatzianastasis, Loukas Ilias, Dimitris Askounis, Michalis Vazirgiannis:
Neural Architecture Search with Multimodal Fusion Methods for Diagnosing Dementia. ICASSP 2023: 1-5 - [c184]Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Path Neural Networks: Expressive and Accurate Graph Neural Networks. ICML 2023: 24737-24755 - [c183]Ashraf Ghiye
, Baptiste Barreau
, Laurent Carlier
, Michalis Vazirgiannis
:
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation. RecSys 2023: 798-804 - [c182]Michalis Vazirgiannis
:
GNNs and Graph Generative models for biomedical applications. WWW 2023: 4 - [i88]Michail Chatzianastasis, Michalis Vazirgiannis, Zijun Zhang:
Explainable Multilayer Graph Neural Network for Cancer Gene Prediction. CoRR abs/2301.08831 (2023) - [i87]Michail Chatzianastasis, Loukas Ilias, Dimitris Askounis, Michalis Vazirgiannis:
Neural Architecture Search with Multimodal Fusion Methods for Diagnosing Dementia. CoRR abs/2302.05894 (2023) - [i86]Iakovos Evdaimon, Hadi Abdine, Christos Xypolopoulos, Stamatis Outsios, Michalis Vazirgiannis, Giorgos Stamou:
GreekBART: The First Pretrained Greek Sequence-to-Sequence Model. CoRR abs/2304.00869 (2023) - [i85]Giannis Nikolentzos, Michail Chatzianastasis, Michalis Vazirgiannis:
What Do GNNs Actually Learn? Towards Understanding their Representations. CoRR abs/2304.10851 (2023) - [i84]Gaspard Michel, Giannis Nikolentzos, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Path Neural Networks: Expressive and Accurate Graph Neural Networks. CoRR abs/2306.05955 (2023) - [i83]Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis:
Supervised Attention Using Homophily in Graph Neural Networks. CoRR abs/2307.05217 (2023) - [i82]Hadi Abdine, Michail Chatzianastasis, Costas Bouyioukos
, Michalis Vazirgiannis:
Prot2Text: Multimodal Protein's Function Generation with GNNs and Transformers. CoRR abs/2307.14367 (2023) - [i81]Nancy Xu, Chrysoula Kosma, Michalis Vazirgiannis:
TimeGNN: Temporal Dynamic Graph Learning for Time Series Forecasting. CoRR abs/2307.14680 (2023) - [i80]Ashraf Ghiye, Baptiste Barreau, Laurent Carlier, Michalis Vazirgiannis:
Adaptive Collaborative Filtering with Personalized Time Decay Functions for Financial Product Recommendation. CoRR abs/2308.01208 (2023) - [i79]Chrysoula Kosma, Giannis Nikolentzos, Michalis Vazirgiannis:
Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series. CoRR abs/2308.03210 (2023) - [i78]Amr Alkhatib, Sofiane Ennadir, Henrik Boström, Michalis Vazirgiannis:
Interpretable Graph Neural Networks for Tabular Data. CoRR abs/2308.08945 (2023) - [i77]Yanzhu Guo, Guokan Shang, Michalis Vazirgiannis, Chloé Clavel:
The Curious Decline of Linguistic Diversity: Training Language Models on Synthetic Text. CoRR abs/2311.09807 (2023) - [i76]Yanzhu Guo, Guokan Shang, Virgile Rennard, Michalis Vazirgiannis, Chloé Clavel:
Automatic Analysis of Substantiation in Scientific Peer Reviews. CoRR abs/2311.11967 (2023) - [i75]Hugo Schnoering, Michalis Vazirgiannis:
Heuristics for Detecting CoinJoin Transactions on the Bitcoin Blockchain. CoRR abs/2311.12491 (2023) - [i74]Virgile Rennard, Guokan Shang, Damien Grari, Julie Hunter, Michalis Vazirgiannis:
FREDSum: A Dialogue Summarization Corpus for French Political Debates. CoRR abs/2312.04843 (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) - [c181]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 - [c180]Mohamed El Amine Seddik, Changmin Wu, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Node Feature Kernels Increase Graph Convolutional Network Robustness. AISTATS 2022: 6225-6241 - [c179]Yanzhu Guo, Chloé Clavel, Moussa Kamal Eddine, Michalis Vazirgiannis:
Questioning the Validity of Summarization Datasets and Improving Their Factual Consistency. EMNLP 2022: 5716-5727 - [c178]Chrysoula Kosma, Giannis Nikolentzos, Nancy Xu, Michalis Vazirgiannis:
Time Series Forecasting Models Copy the Past: How to Mitigate. ICANN (1) 2022: 366-378 - [c177]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 - [c176]Xuanwen Huang, Yang Yang, Yang Wang, Chunping Wang, Zhisheng Zhang, Jiarong Xu, Lei Chen, Michalis Vazirgiannis:
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection. NeurIPS 2022 - [c175]Amr Alkhatib
, Henrik Boström
, Michalis Vazirgiannis
:
Explaining Predictions by Characteristic Rules. ECML/PKDD (1) 2022: 389-403 - [c174]Michail Chatzianastasis, Giannis Nikolentzos, Michalis Vazirgiannis:
Mass Enhanced Node Embeddings for Drug Repurposing. SETN 2022: 5:1-5:5 - [c173]Johannes F. Lutzeyer, Changmin Wu, Michalis Vazirgiannis:
Sparsifying the Update Step in Graph Neural Networks. TAG-ML 2022: 258-268 - [c172]Moussa Kamal Eddine, Nadi Tomeh, Nizar Habash, Joseph Le Roux, Michalis Vazirgiannis:
AraBART: a Pretrained Arabic Sequence-to-Sequence Model for Abstractive Summarization. WANLP@EMNLP 2022: 31-42 - [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) - [c171]George Panagopoulos, Giannis Nikolentzos, Michalis Vazirgiannis:
Transfer Graph Neural Networks for Pandemic Forecasting. AAAI 2021: 4838-4845 - [c170]Stella Douka, Hadi Abdine, Michalis Vazirgiannis, Rajaa El Hamdani, David Restrepo Amariles:
JuriBERT: A Masked-Language Model Adaptation for French Legal Text. NLLP@EMNLP 2021: 95-101 - [c169]Yanzhu Guo, Virgile Rennard, Christos Xypolopoulos, Michalis Vazirgiannis:
BERTweetFR : Domain Adaptation of Pre-Trained Language Models for French Tweets. W-NUT 2021: 445-450 - [c168]Nancy Xu, Giannis Nikolentzos, Michalis Vazirgiannis, Henrik Boström:
Image Keypoint Matching Using Graph Neural Networks. COMPLEX NETWORKS 2021: 441-451 - [c167]Christos Xypolopoulos, Antoine J.-P. Tixier, Michalis Vazirgiannis:
Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings. EACL 2021: 3391-3401 - [c166]Moussa Kamal Eddine, Antoine J.-P. Tixier, Michalis Vazirgiannis:
BARThez: a Skilled Pretrained French Sequence-to-Sequence Model. EMNLP (1) 2021: 9369-9390 - [c165]Giannis Nikolentzos, George Panagopoulos, Michalis Vazirgiannis:
An Empirical Study of the Expressiveness of Graph Kernels and Graph Neural Networks. ICANN (3) 2021: 139-150 - [c164]George Dasoulas, Giannis Nikolentzos, Kevin Scaman, Aladin Virmaux, Michalis Vazirgiannis:
Ego-Based Entropy Measures for Structural Representations on Graphs. ICASSP 2021: 3210-3214 - [c163]Michail Chatzianastasis, George Dasoulas, Georgios Siolas, Michalis Vazirgiannis:
Graph-based Neural Architecture Search with Operation Embeddings. ICCVW 2021: 393-402 - [c162]George Dasoulas
, Johannes F. Lutzeyer, Michalis Vazirgiannis:
Learning Parametrised Graph Shift Operators. ICLR 2021 - [c161]Nikolaos Tziortziotis, Yang Qiu, Martial Hue, Michalis Vazirgiannis:
Audience expansion based on user browsing history. IJCNN 2021: 1-8 - [c160]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]