* indicates equal contribution.

2026⌗

Skenderi, G. (2026). A Geometric Perspective on the Difficulties of Learning GNN-based SAT Solvers. ICLR 2026 Workshop on Geometry-grounded Representation Learning and Generative Modeling (PMLR).

Skenderi, G., Buffoni, L., D’Amico, F., Machado, D., Marino, R., Negri, M., Ricci-Tersenghi, F., Lucibello, C., & Angelini, M. C. (2026). Benchmarking Graph Neural Networks in Solving Hard Constraint Satisfaction Problems. (Preprint arXiv:2602.18419).

Naddeo, D., Linkerhägner, J., Toschi, N., Skenderi, G., & Lachi, V. (2026). Hyperbolic Graph Neural Networks Under the Microscope: The Role of Geometry-Task Alignment. (Preprint arXiv:2602.01828).

2025⌗

Skenderi, G., Li, H., Tang, J., & Cristani, M. (2025). Graph-level Representation Learning with Joint-Embedding Predictive Architectures. Transactions on Machine Learning Research (TMLR).

Skenderi, G., Capogrosso, L., Toaiari, A., Denitto, M., Fummi, F., & Melzi, S. (2025). Disentangled Latent Spaces Facilitate Data-Driven Auxiliary Learning. 23rd International Conference on Image Analysis and Processing.

2024⌗

Li, H., Jin, W., Skenderi, G., Shomer, H., Tang, W., Fan, W., & Tang, J. (2024). Sub-graph Based Diffusion Model for Link Prediction. Proceedings of the Third Learning on Graphs Conference (PMLR).

Skenderi, G., Joppi, C., Denitto, M., & Cristani, M. (2024). Well Googled is Half Done: Multimodal Forecasting of New Fashion Product Sales with Image-based Google Trends. Journal of Forecasting.

2023⌗

Giuliari, F., Skenderi, G., Cristani, M., Del Bue, A., & Wang, Y. (2023). Leveraging commonsense for object localisation in partial scenes. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

Turetta, C., Skenderi, G., Capogrosso, L., Demrozi, F., Kindt, P. H., Masrur, A., … & Pravadelli, G. (2023). Towards Deep Learning-based Occupancy Detection Via WiFi Sensing in Unconstrained Environments. In 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 1–6). IEEE.

2022⌗

Giuliari, F., Skenderi, G., Cristani, M., Wang, Y., & Del Bue, A. (2022). Spatial commonsense graph for object localisation in partial scenes. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 19518–19527).

Joppi, C.*, Skenderi, G.*, & Cristani, M. (2022). POP: Mining POtential Performance of new fashion products via webly cross-modal query expansion. In European Conference on Computer Vision (pp. 34–50). Cham: Springer Nature Switzerland.

Sampieri, A., di Melendugno, G. M. D. A., Avogaro, A., Cunico, F., Setti, F., Skenderi, G., Cristani, M., & Galasso, F. (2022). Pose forecasting in industrial human-robot collaboration. In European Conference on Computer Vision (pp. 51–69). Cham: Springer Nature Switzerland.

Godi, M.*, Joppi, C.*, Skenderi, G.*, & Cristani, M. (2022). MovingFashion: a Benchmark for the Video-to-Shop Challenge. In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 1678–1686).