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Dobrik Georgiev
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Year
Neural Bipartite Matching
D Georgiev, P Lió
Graph Representation Learning & Beyond (ICML workshop), 2020
222020
Algorithmic Concept-based Explainable Reasoning
D Georgiev, P Barbiero, D Kazhdan, P Veličković, P Liò
Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6685-6693, 2022
152022
Global concept-based interpretability for graph neural networks via neuron analysis
H Xuanyuan, P Barbiero, D Georgiev, LC Magister, P Lió
Proceedings of the AAAI Conference on Artificial Intelligence 37 (9), 10675 …, 2023
132023
HEAT: Hyperedge Attention Networks
D Georgiev, M Brockschmidt, M Allamanis
Transactions on Machine Learning Research 2022 (2835-8856), https …, 2022
132022
Hypergraph factorization for multi-tissue gene expression imputation
R Viñas, CK Joshi, D Georgiev, P Lin, B Dumitrascu, ER Gamazon, P Liò
Nature Machine Intelligence, 1-15, 2023
122023
PyTorch, Explain! A Python library for Logic Explained Networks
P Barbiero, G Ciravegna, D Georgiev, F Giannini
arXiv preprint arXiv:2105.11697, 2021
82021
Neural Algorithmic Reasoning for Combinatorial Optimisation
D Georgiev, D Numeroso, D Bacciu, P Liò
The Second Learning on Graphs Conference, 2023
72023
Parallel Algorithms Align with Neural Execution
V Engelmayer, D Georgiev, P Veličković
The Second Learning on Graphs Conference, 2023
42023
Beyond Erdos-Renyi: Generalization in Algorithmic Reasoning on Graphs
DG Georgiev, P Lio, J Bachurski, J Chen, T Shi, L Giusti
The Second Learning on Graphs Conference, 2023
22023
LENs: a Python library for Logic Explained Networks.
P Barbiero, G Ciravegna, D Georgiev, F Giannini
CoRR, 2021
12021
The Deep Equilibrium Algorithmic Reasoner
D Georgiev, P Liò, D Buffelli
arXiv preprint arXiv:2402.06445, 2024
2024
NARTI: Neural Algorithmic Reasoning for Trajectory Inference
D Georgiev, R Vinas, S Considine, B Dumitrascu, P Lio
The 2023 ICML Workshop on Computational Biology., 2023
2023
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Articles 1–12