Pietro Liò

papers

1,334

total citations

papers (13)

Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations

ICLR 2025arXiv

citations

Neural Reasoning for Sure Through Constructing Explainable Models

AAAI 2025

citations

G-Adaptivity: optimised graph-based mesh relocation for finite element methods

ICML 2025arXiv

citations

SPHINX: Structural Prediction using Hypergraph Inference Network

ICML 2025arXiv

citations

How Particle System Theory Enhances Hypergraph Message Passing

NEURIPS 2025arXiv

citations

Deep Hypergraph Neural Networks with Tight Framelets

AAAI 2025

citations

Pietro Liò

papers (13)

Principal Neighbourhood Aggregation for Graph Nets

Weisfeiler and Lehman Go Cellular: CW Networks

Graph Neural Networks with Adaptive Readouts

Path Integral Based Convolution and Pooling for Graph Neural Networks

Neural Distance Embeddings for Biological Sequences

SCOTCH and SODA: A Transformer Video Shadow Detection Framework

When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline

Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations

Neural Reasoning for Sure Through Constructing Explainable Models

G-Adaptivity: optimised graph-based mesh relocation for finite element methods

SPHINX: Structural Prediction using Hypergraph Inference Network

How Particle System Theory Enhances Hypergraph Message Passing

Deep Hypergraph Neural Networks with Tight Framelets

papers (13)

Principal Neighbourhood Aggregation for Graph Nets

Weisfeiler and Lehman Go Cellular: CW Networks

Graph Neural Networks with Adaptive Readouts

Path Integral Based Convolution and Pooling for Graph Neural Networks

Neural Distance Embeddings for Biological Sequences

SCOTCH and SODA: A Transformer Video Shadow Detection Framework

When Hypergraph Meets Heterophily: New Benchmark Datasets and Baseline

Uncertainty Modeling in Graph Neural Networks via Stochastic Differential Equations

Neural Reasoning for Sure Through Constructing Explainable Models

G-Adaptivity: optimised graph-based mesh relocation for finite element methods

SPHINX: Structural Prediction using Hypergraph Inference Network

How Particle System Theory Enhances Hypergraph Message Passing

Deep Hypergraph Neural Networks with Tight Framelets