Li Sun

Orcid: 0000-0003-4562-2279

Affiliations:

North China Electric Power University, Beijing, China
Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China (former, PhD)

According to our database¹, Li Sun authored at least 45 papers between 2017 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

CLEAR: Cluster-based Prompt Learning on Heterogeneous Graphs.

[BibT_eX]

[DOI]

CoRR, February, 2025

RiemannGFM: Learning a Graph Foundation Model from Riemannian Geometry.

[BibT_eX]

[DOI]

CoRR, February, 2025

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics.

[BibT_eX]

[DOI]

CoRR, February, 2025

Relational Prompt-Based Pre-Trained Language Models for Social Event Detection.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., January, 2025

2024

Rcoco: contrastive collective link prediction across multiplex network in Riemannian space.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., September, 2024

Contrastive sequential interaction network learning on co-evolving Riemannian spaces.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., April, 2024

Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space.

[BibT_eX]

[DOI]

CoRR, 2024

Structural Entropy Guided Probabilistic Coding.

[BibT_eX]

[DOI]

CoRR, 2024

RicciNet: Deep Clustering via A Riemannian Generative Model.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

R-ODE: Ricci Curvature Tells When You Will be Informed.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Spiking Graph Neural Network on Riemannian Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Adaptive Differentially Private Structural Entropy Minimization for Unsupervised Social Event Detection.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

A Mixed-Curvature Graph Diffusion Model.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Multivariate Time-Series Anomaly Detection based on Enhancing Graph Attention Networks with Topological Analysis.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MINING: Multi-Granularity Network Alignment Based on Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

A survey of graph neural network based recommendation in social networks.

[BibT_eX]

[DOI]

Neurocomputing, September, 2023

GroupAligner: A Deep Reinforcement Learning with Domain Adaptation for Social Group Alignment.

[BibT_eX]

[DOI]

ACM Trans. Web, August, 2023

MC<sup>2</sup>: Unsupervised Multiple Social Network Alignment.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., August, 2023

When Behavior Analysis Meets Social Network Alignment.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., July, 2023

Aligning Dynamic Social Networks: An Optimization Over Dynamic Graph Autoencoder.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2023

Contrastive Graph Clustering in Curvature Spaces.

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

CONGREGATE: Contrastive Graph Clustering in Curvature Spaces.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

DeepRicci: Self-supervised Graph Structure-Feature Co-Refinement for Alleviating Over-squashing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Self-Supervised Continual Graph Learning in Adaptive Riemannian Spaces.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DeepBlue: Bi-Layered LSTM for Tweet popUlarity Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

DiriE: Knowledge Graph Embedding with Dirichlet Distribution.

[BibT_eX]

[DOI]

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Self-Supervised Mixed-Curvature Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Reconciling Multiple Social Networks Effectively and Efficiently: An Embedding Approach.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Inductive and irregular dynamic network representation based on ordinary differential equations.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2021

Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fair-Aware Competitive Event Influence Maximization in Social Networks.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Sci. Eng., 2020

Graph-Bert: Only Attention is Needed for Learning Graph Representations.

[BibT_eX]

[DOI]

CoRR, 2020

BANANA: when Behavior ANAlysis meets social Network Alignment.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Perfect: A Hyperbolic Embedding for Joint User and Community Alignment.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Hyperbolic User Identity Linkage across Social Networks.

[BibT_eX]

[DOI]

Feiyang Wang

Li Sun

Zhongbao Zhang

Proceedings of the IEEE Global Communications Conference, 2020

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters.

[BibT_eX]

[DOI]

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

DNA: Dynamic Social Network Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

MASTER: across Multiple social networks, integrate Attribute and STructure Embedding for Reconciliation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Efficient incremental dynamic link prediction algorithms in social network.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

Li Sun

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