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Linyuan L\"u — most-cited papers & profile · Graph Learning
← authors
·
overview
Linyuan L\"u
18
papers ·
30
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Influential Simplices Mining via Simplicial Convolutional Network
2023 · 2 citations
Interpretable Relational Inference with LLM-Guided Symbolic Dynamics Modeling
2026
FS_GPlib: Breaking the Web-Scale Barrier - A Unified Acceleration Framework for Graph Propagation Models
2026
Deterministic Frequency--Domain Inference of Network Topology and Hidden Components via Structure--Behavior Scaling
2025
The long-term impact of ranking algorithms in growing networks
2018
Hyperparameter-free and Explainable Whole Graph Embedding
2021
Beyond network centrality: Individual-level behavioral traits for predicting information superspreaders in social media
2021
Identifying vital nodes through augmented random walks on higher-order networks
2023
Higher-order link prediction via local information
2023
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes
2023
Cooperative Network Learning for Large-Scale and Decentralized Graphs
2023
A Fast Maximum Clique Algorithm Based on Network Decomposition for Large Sparse Networks
2024
A universal optimization framework based on cycle ranking for influence maximization in complex networks
2024
Top co-authors
Tianlong Fan
· 4
Yiming Huang
· 3
Yujie Zeng
· 3
Fang Zhou
· 2
Juyuan Zhang
· 2
Qiang Wu
· 2
Rongmei Yang
· 2
Xiaoxiao Liang
· 2
Bo Liu
· 1
Chang Guo
· 1
Chang Su
· 1
Guanrong Chen
· 1
Topics
cs.SI
physics.soc-ph
cs.LG
cs.AI
physics.data-an
Uncategorized
stat.CO
cond-mat.stat-mech
cs.DS
cs.IR