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Jure Leskovec — most-cited papers & profile · Graph Learning
← authors
·
overview
Jure Leskovec
36
papers ·
7923
citations ·
140
h-index
Stanford University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Inductive Representation Learning on Large Graphs
2017 · 4544 citations
Hierarchical Graph Representation Learning with Differentiable Pooling
2018 · 844 citations
GNNExplainer: Generating Explanations for Graph Neural Networks
2019 · 699 citations
How Powerful are Graph Neural Networks?
2018 · 386 citations
ROLAND: Graph Learning Framework for Dynamic Graphs
2022 · 150 citations
Identity-aware Graph Neural Networks
2021 · 135 citations
Graph Information Bottleneck
2020 · 96 citations
Position-aware Graph Neural Networks
2019 · 89 citations
Multi-hop Attention Graph Neural Network
2020 · 35 citations
Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems
2019 · 25 citations
When Do Graph Neural Networks Help with Node Classification? Investigating the Impact of Homophily Principle on Node Distinguishability
2023 · 12 citations
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
2021 · 11 citations
Redundancy-Free Computation Graphs for Graph Neural Networks
2019 · 9 citations
Learning Efficient Positional Encodings with Graph Neural Networks
2025 · 1 citations
Relational Graph Transformer
2025
Top co-authors
Jiaxuan You
· 6
Rex Ying
· 6
Charilaos I. Kanatsoulis
· 2
Matthias Fey
· 2
Alejandro Ribeiro
· 1
Alex Aiken
· 1
Alex Luo
· 1
Benjamin Yan
· 1
Chenqing Hua
· 1
Chi Heem Wong
· 1
Christopher Morris
· 1
Doina Precup
· 1
Topics
GNN Architectures
Theory & Expressivity
Temporal & Dynamic
Recommendation Graphs
Knowledge Graphs