| Pedestrian trajectory prediction with convolutional neural networks S Zamboni, ZT Kefato, S Girdzijauskas, C Norén, L Dal Col Pattern Recognition 121, 108252, 2022 | 113 | 2022 |
| gat2vec: representation learning for attributed graphs N Sheikh, Z Kefato, A Montresor Computing 101 (3), 187-209, 2019 | 77 | 2019 |
| Self-supervised graph neural networks without explicit negative sampling ZT Kefato, S Girdzijauskas arXiv preprint arXiv:2103.14958, 2021 | 54 | 2021 |
| Cas2vec: Network-agnostic cascade prediction in online social networks ZT Kefato, N Sheikh, L Bahri, A Soliman, A Montresor, S Girdzijauskas 2018 Fifth international conference on social networks analysis, management …, 2018 | 25 | 2018 |
| Semi-supervised heterogeneous information network embedding for node classification using 1d-cnn N Sheikh, ZT Kefato, A Montresor 2018 Fifth International Conference on Social Networks Analysis, Management …, 2018 | 11 | 2018 |
| Dynamic embeddings for interaction prediction Z Kefato, S Girdzijauskas, N Sheikh, A Montresor Proceedings of the Web Conference 2021, 1609-1618, 2021 | 10 | 2021 |
| Gossip and attend: Context-sensitive graph representation learning Z Kefato, S Girdzijauskas Proceedings of the International AAAI Conference on Web and Social Media 14 …, 2020 | 9 | 2020 |
| A simple approach to attributed graph embedding via enhanced autoencoder N Sheikh, ZT Kefato, A Montresor Complex Networks and Their Applications VIII: Volume 1 Proceedings of the …, 2020 | 8 | 2020 |
| Graph neighborhood attentive pooling ZT Kefato, S Girdzijauskas arXiv preprint arXiv:2001.10394, 2020 | 7 | 2020 |
| Mineral: Multi-modal network representation learning ZT Kefato, N Sheikh, A Montresor Machine Learning, Optimization, and Big Data: Third International Conference …, 2018 | 7 | 2018 |
| DeepInfer: Diffusion Network Inference through Representation Learning ZT Kefato, N Sheikh, A Montresor Proc. of the 13th International Workshop on Mining and Learning With Graphs, 2017 | 7* | 2017 |
| Graph2Feat: Inductive Link Prediction via Knowledge Distillation AE Samy, ZT Kefato, S Girdzijauskas In Companion Proceedings of the ACM Web Conference 2023 (WWW '23 Companion …, 2023 | 6 | 2023 |
| REFINE: representation learning from diffusion events ZT Kefato, N Sheikh, A Montresor Machine Learning, Optimization, and Data Science: 4th International …, 2019 | 5 | 2019 |
| SchemaWalk: Schema Aware Random Walks for Heterogeneous Graph Embedding AE Samy, L Giaretta, ZT Kefato, Š Girdzijauskas Companion Proceedings of the Web Conference 2022, 1157-1166, 2022 | 4 | 2022 |
| Jointly learnable data augmentations for self-supervised gnns ZT Kefato, S Girdzijauskas, H Stärk arXiv preprint arXiv:2108.10420, 2021 | 4 | 2021 |
| Keyword query to graph query Z Kefato, M Lissandrini, D Mottin, T Palpanas DISI Technical Report, 2013 | 2 | 2013 |
| Which way? direction-aware attributed graph embedding ZT Kefato, N Sheikh, A Montresor arXiv preprint arXiv:2001.11297, 2020 | 1 | 2020 |
| Cats: Network-agnostic virality prediction model to aid rumour detection Z Kefato, N Sheikh, L Bahri, A Soliman, S Girdzijauskas, A Montresor International Workshop on Rumours and Deception in Social Media (RDSM 2018), 2018 | 1 | 2018 |
| Personalized influencer detection: Topic and exposure-conformity aware ZT Kefato, A Montresor Proc. of the International Workshop on Mining Actionable Insights from …, 2017 | 1 | 2017 |
| Self-Supervised GNN that Jointly Learns to Augment ZT Kefato, S Girdzijauskas, H Stärk | 1 | |
Sarunas GirdzijauskasRoyal Institute of Technology (KTH), SwedenVerified email at kth.se
