| 2026 | AAAI | Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields. | Md Shahriar Rahim Siddiqui, Moshe Eliasof, Eldad Haber |
| 2025 | AAAI | Learning Regularization for Graph Inverse Problems. | Moshe Eliasof, Md Shahriar Rahim Siddiqui, Carola-Bibiane Schnlieb, Eldad Haber |
| 2025 | AAAI | On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems. | Alessio Gravina, Moshe Eliasof, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schnlieb |
| 2025 | CVPR | DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations. | Krishna Sri Ipsit Mantri, Carola-Bibiane Schnlieb, Bruno Ribeiro, Chaim Baskin, Moshe Eliasof |
| 2025 | ECAI | Quadratic Binary Optimization with Graph Neural Networks. | Moshe Eliasof, Eldad Haber |
| 2025 | ICLR | Estimation of single-cell and tissue perturbation effect in spatial transcriptomics via Spatial Causal Disentanglement. | Stathis Megas, Daniel G. Chen, Krzysztof Polanski, Moshe Eliasof, Carola-Bibiane Schnlieb, Sarah A. Teichmann |
| 2025 | ICML | Graph Adaptive Autoregressive Moving Average Models. | Moshe Eliasof, Alessio Gravina, Andrea Ceni, Claudio Gallicchio, Davide Bacciu, Carola-Bibiane Schnlieb |
| 2025 | ICML | Improving the Effective Receptive Field of Message-Passing Neural Networks. | Shahaf E. Finder, Ron Shapira Weber, Moshe Eliasof, Oren Freifeld, Eran Treister |
| 2024 | AAAI | Feature Transportation Improves Graph Neural Networks. | Moshe Eliasof, Eldad Haber, Eran Treister |
| 2024 | AISTATS | On The Temporal Domain of Differential Equation Inspired Graph Neural Networks. | Moshe Eliasof, Eldad Haber, Eran Treister, Carola-Bibiane Schnlieb |
| 2024 | ECAI | Every Node Counts: Improving the Training of Graph Neural Networks on Node Classification. | Moshe Eliasof, Eldad Haber, Eran Treister |
| 2024 | ECAI | Resilient Graph Neural Networks: A Coupled Dynamical Systems Approach. | Moshe Eliasof, Davide Murari, Ferdia Sherry, Carola-Bibiane Schnlieb |
| 2024 | ICLR | Efficient Subgraph GNNs by Learning Effective Selection Policies. | Beatrice Bevilacqua, Moshe Eliasof, Eli A. Meirom, Bruno Ribeiro, Haggai Maron |
| 2023 | ICML | Graph Positional Encoding via Random Feature Propagation. | Moshe Eliasof, Fabrizio Frasca, Beatrice Bevilacqua, Eran Treister, Gal Chechik, Haggai Maron |
| 2023 | ICML | Improving Graph Neural Networks with Learnable Propagation Operators. | Moshe Eliasof, Lars Ruthotto, Eran Treister |
| 2022 | ICIP | Rethinking Unsupervised Neural Superpixel Segmentation. | Moshe Eliasof, Nir Ben Zikri, Eran Treister |
| 2022 | ICML | pathGCN: Learning General Graph Spatial Operators from Paths. | Moshe Eliasof, Eldad Haber, Eran Treister |