Xingcheng Fu

Orcid: 0000-0002-4643-8126

According to our database¹, Xingcheng Fu authored at least 48 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2025

User preference representation and dual contrastive learning for knowledge-aware recommendation.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., November, 2025

Evolving Graph Learning for Out-of-Distribution Generalization in Non-stationary Environments.

[BibT_eX]

[DOI]

CoRR, November, 2025

GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation.

[BibT_eX]

[DOI]

CoRR, November, 2025

Robust Graph Condensation via Classification Complexity Mitigation.

[BibT_eX]

[DOI]

CoRR, October, 2025

Unifying Deductive and Abductive Reasoning in Knowledge Graphs with Masked Diffusion Model.

[BibT_eX]

[DOI]

CoRR, October, 2025

Toward a Unified Geometry Understanding: Riemannian Diffusion Framework for Graph Generation and Prediction.

[BibT_eX]

[DOI]

CoRR, October, 2025

SDA-PLANNER: State-Dependency Aware Adaptive Planner for Embodied Task Planning.

[BibT_eX]

[DOI]

CoRR, September, 2025

A comprehensive survey on GNN-based anomaly detection: taxonomy, methods, and the role of large language models.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., August, 2025

DyG-RAG: Dynamic Graph Retrieval-Augmented Generation with Event-Centric Reasoning.

[BibT_eX]

[DOI]

CoRR, July, 2025

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, July, 2025

Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, May, 2025

Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2025, 2025

Graph Size-imbalanced Learning with Energy-guided Structural Smoothing.

[BibT_eX]

[DOI]

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Leveraging Personalized PageRank and Higher-Order Topological Structures for Heterophily Mitigation in Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Mitigating Message Imbalance in Fraud Detection with Dual-View Graph Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

OS-GCL: A One-Shot Learner in Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

ST-GCond: Self-supervised and Transferable Graph Dataset Condensation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

IGL-Bench: Establishing the Comprehensive Benchmark for Imbalanced Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Galaxy Walker: Geometry-aware VLMs For Galaxy-scale Understanding.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

DG-Mamba: Robust and Efficient Dynamic Graph Structure Learning with Selective State Space Models.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Prompt-based Unifying Inference Attack on Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

GraphMoRE: Mitigating Topological Heterogeneity via Mixture of Riemannian Experts.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Discrete Curvature Graph Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

CausalFD: causal invariance-based fraud detection against camouflaged preference.

[BibT_eX]

[DOI]

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

Dynamic Graph Information Bottleneck.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

GC-Bench: An Open and Unified Benchmark for Graph Condensation.

[BibT_eX]

[DOI]

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

Hyperbolic Geometric Latent Diffusion Model for Graph Generation.

[BibT_eX]

[DOI]

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

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding.

[BibT_eX]

[DOI]

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

ReGCL: Rethinking Message Passing in Graph Contrastive Learning.

[BibT_eX]

[DOI]

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

2023

A Robust and Generalized Framework for Adversarial Graph Embedding.

[BibT_eX]

[DOI]

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

Higher-order memory guided temporal random walk for dynamic heterogeneous network embedding.

[BibT_eX]

[DOI]

Pattern Recognit., November, 2023

Heterogeneous graph neural network with semantic-aware differential privacy guarantees.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., October, 2023

Adaptive curvature exploration geometric graph neural network.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., May, 2023

AIC-GNN: Adversarial information completion for graph neural networks.

[BibT_eX]

[DOI]

Inf. Sci., May, 2023

Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Unbiased and Efficient Self-Supervised Incremental Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Does Graph Distillation See Like Vision Dataset Counterpart?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

POINE<sup>2</sup>: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Self-Organization Preserved Graph Structure Learning with Principle of Relevant Information.

[BibT_eX]

[DOI]

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

2022

Curvature Graph Generative Adversarial Networks.

[BibT_eX]

[DOI]

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

Heterogeneous Graph Neural Network for Privacy-Preserving Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2022

Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing.

[BibT_eX]

[DOI]

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

Graph Structure Learning with Variational Information Bottleneck.

[BibT_eX]

[DOI]

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

2021

ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

2019

A three-phase approach to differentially private crucial patterns mining over data streams.

[BibT_eX]

[DOI]

Comput. Secur., 2019

Xingcheng Fu

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