Neural Bipartite Matching. - Dobrik Georgiev; Pietro Lió (CoRR, 2020)

LENs: a Python library for Logic Explained Networks. - Pietro Barbiero; Gabriele Ciravegna; Dobrik Georgiev; Francesco Giannini (CoRR, 2021)

Algorithmic Concept-Based Explainable Reasoning. - Dobrik Georgiev; Pietro Barbiero; Dmitry Kazhdan; Petar Velickovic; Pietro Lió (AAAI, 2022)

HEAT: Hyperedge Attention Networks. - Dobrik Georgiev; Marc Brockschmidt; Miltiadis Allamanis (Trans. Mach. Learn. Res., 2022)

Global Concept-Based Interpretability for Graph Neural Networks via Neuron Analysis. - Han Xuanyuan; Pietro Barbiero; Dobrik Georgiev; Lucie Charlotte Magister; Pietro Liò (AAAI, 2023)

Parallel Algorithms Align With Neural Execution. - Valerie Engelmayer; Dobrik Georgiev; Petar Velickovic (LoG, 2023)

Neural Algorithmic Reasoning for Combinatorial Optimisation. - Dobrik Georgiev; Danilo Numeroso; Davide Bacciu; Pietro Lio (LoG, 2023)

Hypergraph Factorisation Expression Quantitative Trait Loci. - Ramón Viñas 001; Chaitanya K. Joshi; Dobrik Georgiev; Phillip Lin; Bianca Dumitrascu; Pietro Liò; Eric R. Gamazon (Zenodo, 2023)

Hypergraph factorization for multi-tissue gene expression imputation. - Ramón Viñas 001; Chaitanya K. Joshi; Dobrik Georgiev; Phillip Lin; Bianca Dumitrascu; Eric R. Gamazon; Pietro Liò (Nat. Mac. Intell., 2023)

Deep Equilibrium Algorithmic Reasoning. - Dobrik Georgiev; Joseph Wilson; Davide Buffelli; Pietro Lió (NeurIPS, 2024)

The Deep Equilibrium Algorithmic Reasoner. - Dobrik Georgiev; Pietro Liò; Davide Buffelli (CoRR, 2024)

Neural Algorithmic Reasoning with Multiple Correct Solutions. - Zeno Kujawa; John Poole; Dobrik Georgiev; Danilo Numeroso; Pietro Liò (CoRR, 2024)

Deep Equilibrium Algorithmic Reasoning. - Dobrik Georgiev; JJ Wilson; Davide Buffelli; Pietro Liò (CoRR, 2024)