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20212024
most citedA Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning

22 citations · 24 across the 8 of their papers we have counts for

collaborators

8 papers

astro-ph.HE20242 cited

Soft X-ray prompt emission from a high-redshift gamma-ray burst EP240315a

Y. Liu, H. Sun, D. Xu +191

Long gamma-ray bursts (GRBs) are believed to originate from core collapse of massive stars. High-redshift GRBs can probe the star formation and reionization history of the early un…

cs.SI2024

RCoCo: Contrastive Collective Link Prediction across Multiplex Network in Riemannian Space

Li Sun, Mengjie Li, Yong Yang +4

Link prediction typically studies the probability of future interconnection among nodes with the observation in a single social network. More often than not, real scenario is prese…

cs.LG2024

Contrastive Sequential Interaction Network Learning on Co-Evolving Riemannian Spaces

Li Sun, Junda Ye, Jiawei Zhang +4

The sequential interaction network usually find itself in a variety of applications, e.g., recommender system. Herein, inferring future interaction is of fundamental importance, an…

cs.LG2023

SINCERE: Sequential Interaction Networks representation learning on Co-Evolving RiEmannian manifolds

Junda Ye, Zhongbao Zhang, Li Sun +3

Sequential interaction networks (SIN) have been commonly adopted in many applications such as recommendation systems, search engines and social networks to describe the mutual infl…

cs.SI2022

PERFECT: A Hyperbolic Embedding for Joint User and Community Alignment

Li Sun, Zhongbao Zhang, Jiawei Zhang +4

Social network alignment shows fundamental importance in a wide spectrum of applications. To the best of our knowledge, existing studies mainly focus on network alignment at the in…

cs.LG202222 cited

A Self-supervised Riemannian GNN with Time Varying Curvature for Temporal Graph Learning

Li Sun, Junda Ye, Hao Peng +1

Representation learning on temporal graphs has drawn considerable research attention owing to its fundamental importance in a wide spectrum of real-world applications. Though a num…