Anchen Li

Orcid: 0000-0001-9828-6964

According to our database1, Anchen Li authored at least 30 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Grouping-enhanced personalization for federated recommendation.
Inf. Process. Manag., 2026

BSSRec: Balance theory-based sign-aware denoising method for enhancing social recommendation.
Expert Syst. Appl., 2026

Multi-Source Information Driven Spatio-Temporal Hypergraph Learning for Traffic Forecasting.
Proceedings of the ACM Web Conference 2026, 2026

Quantum-enhanced Representation Learning and Matching Learning for Recommendation.
Proceedings of the ACM Web Conference 2026, 2026

Empowering LLMs for Structure-Based Drug Design via Exploration-Augmented Latent Inference.
Proceedings of the ACM Web Conference 2026, 2026

2025
When Noisy Labels Meet Class Imbalance on Graphs: A Graph Augmentation Method with LLM and Pseudo Label.
CoRR, July, 2025

Incomplete graph learning: A comprehensive survey.
Neural Networks, 2025

Self-supervised dual graph learning for recommendation.
Knowl. Based Syst., 2025

CSGL: chemical synthesis graph learning for molecule representation.
Bioinform., 2025

Dual Graph Denoising Model for Social Recommendation.
Proceedings of the ACM on Web Conference 2025, 2025

Hypercomplex Knowledge Graph-Aware Recommendation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Diffusion Multi-behavior Recommender Model.
Proceedings of the Database Systems for Advanced Applications, 2025

GraphIAM: Two-Stage Algorithm for Improving Class-Imbalanced Node Classification on Attribute-Missing Graphs.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

MVSGAE: Multi-head Variational Signed Graph Auto-Encoder.
Proceedings of the Web and Big Data - 9th International Joint Conference, 2025

2024
Item Attribute-aware Graph Collaborative Filtering.
Expert Syst. Appl., March, 2024

Attribute imputation autoencoders for attribute-missing graphs.
Knowl. Based Syst., 2024

Chemical reaction enhanced graph learning for molecule representation.
Bioinform., 2024

Structure- and Logic-Aware Heterogeneous Graph Learning for Recommendation.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023
Hyperbolic Neural Collaborative Recommender.
IEEE Trans. Knowl. Data Eng., September, 2023

A Novel Neural-symbolic System under Statistical Relational Learning.
CoRR, 2023

2022
HSR: Hyperbolic Social Recommender.
Inf. Sci., 2022

Hypercomplex Graph Collaborative Filtering.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Counterfactual-Guided and Curiosity-Driven Multi-hop Reasoning over Knowledge Graph.
Proceedings of the Database Systems for Advanced Applications, 2022

Meta-path Enhanced Lightweight Graph Neural Network for Social Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2022

A Probabilistic Graphical Model Based on Neural-symbolic Reasoning for Visual Relationship Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
GSIRec: Learning with graph side information for recommendation.
World Wide Web, 2021

Leveraging implicit relations for recommender systems.
Inf. Sci., 2021

Hyperbolic Neural Collaborative Recommender.
CoRR, 2021

HSR: Hyperbolic Social Recommender.
CoRR, 2021

DNEA: Dynamic Network Embedding Method for Anomaly Detection.
Proceedings of the Knowledge Science, Engineering and Management, 2021


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