Author

Phu Pham

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Jul 2026

Multi‐Viewed Graph Representation Learning Through Graph Neural Network and Rich‐Spatial Local Feature Embedding

The proposed MM2Vec model consistently outperforms classical machine learning (ML)‐based models and recent state‐of‐the‐art deep learning (DL)/GNN‐based methods in terms of accuracy, robustness, and generalization.

Phu Pham · International Conference on... · 0 citations

Jul 2026

Adaptive Inference Neuro-Fuzzy Driven Embedding Fusion for Improving Link Prediction Through Graph Neural Network

The proposed AFGNN model dynamically regulates the fusion of view-specific embeddings, enhances reasoning capability, and suppresses uncertainty during representation learning, and demonstrates the effectiveness and superiority of AFGNN compared with state-of-the-art GNN-based link prediction models.

Phu Pham · International Journal of Unc... · 0 citations