Thanh Trung Huynh

Neural Comput. Appl., July, 2024

Higher-order knowledge-enhanced recommendation with heterogeneous hypergraph multi-attention.

[BibT_eX]

[DOI]

Thanh Tam Nguyen

Inf. Sci., 2024

FedMAC: Tackling Partial-Modality Missing in Federated Learning with Cross-Modal Aggregation and Contrastive Regularization.

[BibT_eX]

[DOI]

CoRR, 2024

Heterogeneous Hypergraph Embedding for Recommendation Systems.

[BibT_eX]

[DOI]

Thanh Tam Nguyen

CoRR, 2024

Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures.

[BibT_eX]

[DOI]

Thanh Toan Nguyen

CoRR, 2024

A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures.

[BibT_eX]

[DOI]

CoRR, 2024

Fast-FedUL: A Training-Free Federated Unlearning with Provable Skew Resilience.

[BibT_eX]

[DOI]

Karl Aberer

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

A Contrastive Learning and Graph-based Approach for Missing Modalities in Multimodal Federated Learning.

[BibT_eX]

[DOI]

Thu Hang Phung

Binh P. Nguyen

Thanh Hung Nguyen

Proceedings of the International Joint Conference on Neural Networks, 2024

Hierarchical Federated Learning in MEC Networks with Knowledge Distillation.

[BibT_eX]

[DOI]

Tuan Dung Nguyen

Ngoc Anh Tong

Binh P. Nguyen

Proceedings of the International Joint Conference on Neural Networks, 2024

CARER - ClinicAl Reasoning-Enhanced Representation for Temporal Health Risk Prediction.

[BibT_eX]

[DOI]

Tuan Nguyen

Minh Hieu Phan

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Scalable maximal subgraph mining with backbone-preserving graph convolutions.

[BibT_eX]

[DOI]

Inf. Sci., October, 2023

Learning Holistic Interactions in LBSNs With High-Order, Dynamic, and Multi-Role Contexts.

[BibT_eX]

[DOI]

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

Detecting rumours with latency guarantees using massive streaming data.

[BibT_eX]

[DOI]

VLDB J., March, 2023

Validating functional redundancy with mixed generative adversarial networks.

[BibT_eX]

[DOI]

Knowl. Based Syst., March, 2023

Poisoning GNN-based Recommender Systems with Generative Surrogate-based Attacks.

[BibT_eX]

[DOI]

Thanh Toan Nguyen

Nguyen Duc Khang Quach

ACM Trans. Inf. Syst., 2023

Network Alignment With Holistic Embeddings.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Complex Representation Learning with Graph Convolutional Networks for Knowledge Graph Alignment.

[BibT_eX]

[DOI]

Int. J. Intell. Syst., 2023

High Accurate and Explainable Multi-Pill Detection Framework with Graph Neural Network-Assisted Multimodal Data Fusion.

[BibT_eX]

[DOI]

Anh Duy Nguyen

Huy Hieu Pham

Huynh Thanh Trung

Truong Thao Nguyen

CoRR, 2023

Efficient Integration of Multi-Order Dynamics and Internal Dynamics in Stock Movement Prediction.

[BibT_eX]

[DOI]

Karl Aberer

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

2022

Entity Alignment for Knowledge Graphs With Multi-Order Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Joint Multilingual Knowledge Graph Completion and Alignment.

[BibT_eX]

[DOI]

Mathias Niepert

CoRR, 2022

A Survey of Machine Unlearning.

[BibT_eX]

[DOI]

CoRR, 2022

Unsupervised Air Quality Interpolation with Attentive Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 11th International Symposium on Information and Communication Technology, 2022

Network Alignment with Holistic Embeddings (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Joint Multilingual Knowledge Graph Completion and Alignment.

[BibT_eX]

[DOI]

Mathias Niepert

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Social Multi-role Discovering with Hypergraph Embedding for Location-Based Social Networks.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

A Lightweight and Efficient GA-Based Model-Agnostic Feature Selection Scheme for Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021

Structural representation learning for network alignment with self-supervised anchor links.

[BibT_eX]

[DOI]

Thanh Tho Quan

Expert Syst. Appl., 2021

Link-Intensive Alignment for Incomplete Knowledge Graphs.

[BibT_eX]

[DOI]

Huynh Quyet Thang

CoRR, 2021

A dual benchmarking study of facial forgery and facial forensics.

[BibT_eX]

[DOI]

CoRR, 2021

Entity Alignment for Knowledge Graphs with Multi-order Convolutional Networks (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

ODAR: A Lightweight Object Detection Framework for Autonomous Driving Robots.

[BibT_eX]

[DOI]

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020

A comparative study on network alignment techniques.

[BibT_eX]

[DOI]

Abdul Sattar

Expert Syst. Appl., 2020

Efficient-Frequency: a hybrid visual forensic framework for facial forgery detection.

[BibT_eX]

[DOI]

Jun Jo

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Adaptive Network Alignment with Unsupervised and Multi-order Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

2019

Network Alignment by Representation Learning on Structure and Attribute.

[BibT_eX]

[DOI]