Mohammed Alhabib

According to our database, Mohammed Alhabib authored at least 5 papers between 2025 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Cascading size-dependent deep propagation (CADP): Addressing over-smoothing in graph few-shot dermatology classification.

Abdulrahman Noman, Beiji Zou, Chengzhang Zhu, Mohammed Alhabib, Ahmed Alasri

Neural Networks, 2026

SEN-GAT: Synergistic Edge-Node graph attention networks for few-shot skin disease diagnosis.

Abdulrahman Noman, Beiji Zou, Chengzhang Zhu, Mohammed Alhabib, Ahmed Alasri

Digit. Signal Process., 2026

2025

GCDPL-Net: graph-based co-attention discriminative prototype learning networks for few-shot classification.

Mohammed Alhabib, Zuping Zhang, Abdulrahman Noman, Raeed Al-sabri, Majjed Al-Qatf

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

FEGGNN: Feature-Enhanced Gated Graph Neural Network for robust few-shot skin disease classification.

Abdulrahman Noman, Beiji Zou, Chengzhang Zhu, Mohammed Alhabib, Raeed Al-sabri

Comput. Biol. Medicine, 2025

BATR-FST: Bi-Level Adaptive Token Refinement for Few-Shot Transformers.

Mohammed Alhabib, Zuping Zhang, Abdulrahman Noman

Proceedings of the International Joint Conference on Neural Networks, 2025