Keke Huang

About Keke Huang

Keke Huang, With an exceptional h-index of 9 and a recent h-index of 8 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of Database, Graph data management, Social networks.

His recent articles reflect a diverse array of research interests and contributions to the field:

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach

Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation

An Effective Universal Polynomial Basis for Spectral Graph Neural Networks

Efficient and Effective Edge-wise Graph Representation Learning

Node-wise diffusion for scalable graph learning

Scalable and effective bipartite network embedding

Almost optimal anytime algorithm for batched multi-armed bandits

Optimal streaming algorithms for multi-armed bandits

Keke Huang Information

University

Position

___

Citations(all)

346

Citations(since 2020)

312

Cited By

129

hIndex(all)

9

hIndex(since 2020)

8

i10Index(all)

9

i10Index(since 2020)

8

Email

University Profile Page

Google Scholar

Keke Huang Skills & Research Interests

Database

Graph data management

Social networks

Top articles of Keke Huang

Optimizing Polynomial Graph Filters: A Novel Adaptive Krylov Subspace Approach

arXiv preprint arXiv:2403.07954

2024/3/12

Keke Huang
Keke Huang

H-Index: 4

Xiaokui Xiao
Xiaokui Xiao

H-Index: 45

Scalable Continuous-time Diffusion Framework for Network Inference and Influence Estimation

arXiv preprint arXiv:2403.02867

2024/3/5

Keke Huang
Keke Huang

H-Index: 4

Xiaokui Xiao
Xiaokui Xiao

H-Index: 45

An Effective Universal Polynomial Basis for Spectral Graph Neural Networks

2023/10/13

Keke Huang
Keke Huang

H-Index: 4

Efficient and Effective Edge-wise Graph Representation Learning

2023/8/6

Node-wise diffusion for scalable graph learning

2023/4/30

Scalable and effective bipartite network embedding

2022/6/10

Almost optimal anytime algorithm for batched multi-armed bandits

2021/7/1

Optimal streaming algorithms for multi-armed bandits

2021/7/1

Unconstrained submodular maximization with modular costs: Tight approximation and application to profit maximization

Proceedings of the VLDB Endowment

2021/6/1

Effective and scalable clustering on massive attributed graphs

2021/4/19

Efficient approximation algorithms for adaptive influence maximization

The VLDB Journal

2020/6

Efficient approximation algorithms for adaptive target profit maximization

2020/4/20

See List of Professors in Keke Huang University(National University of Singapore)

Co-Authors

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