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Pietro Lio — most-cited papers & profile · Graph Learning
← authors
·
overview
Pietro Lio
17
papers ·
77
citations ·
73
h-index
University of Cambridge
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
2023 · 32 citations
An end-to-end attention-based approach for learning on graphs
2024 · 26 citations
How Framelets Enhance Graph Neural Networks
2021 · 9 citations
Dirichlet Energy Enhancement of Graph Neural Networks by Framelet Augmentation
2023 · 6 citations
Concept Graph Convolutions: Message Passing in the Concept Space
2026
GLANCE: Graph Logic Attention Network with Cluster Enhancement for Heterophilous Graph Representation Learning
2025
A Multiscale Graph Convolutional Network Using Hierarchical Clustering
2020
Path Integral Based Convolution and Pooling for Graph Neural Networks
2020
Top co-authors
Yu Guang Wang
· 3
Ming Li
· 2
Andrea Passerini
· 1
Anoushka Harit
· 1
Bingxin Zhou
· 1
Bruno Lepri
· 1
Cristian Bodnar
· 1
David Buterez
· 1
Franco Scarselli
· 1
Jon Paul Janet
· 1
Junbin Gao
· 1
Monica Bianchini
· 1
Topics
GNN Architectures
Theory & Expressivity
Molecular & Drug
Scene & Visual Graphs
Knowledge Graphs
Temporal & Dynamic