Graph neural networks

ACCF: Adversarial Contrastive Collaborative Filtering.

ACCF: Adversarial Contrastive Collaborative Filtering

ACCF: Adversarial Contrastive Collaborative Filtering | AI Security Research AISecurity Research Machine Learning About Recommender Systems · Knowledge-Based Systems 2026 · 14 min read ACCF: Teaching Recommender Systems to Learn from Adversity Through Contrastive Learning A novel training paradigm that integrates adversarial perturbations with instance-sensitive optimization to enhance robustness and generality in graph neural network-based […]

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Hierarchical Graph Attention Networks: Revolutionizing Knowledge Graph Completion for Smart Manufacturing Systems

Hierarchical Graph Attention Networks: Revolutionizing Knowledge Graph Completion for Smart Manufacturing Systems

Introduction: The Critical Gap in Modern Manufacturing Intelligence In today’s rapidly evolving industrial landscape, product design and manufacturing systems (PDMS) face an unprecedented challenge: making sense of vast, interconnected data while dealing with incomplete knowledge bases. Knowledge graphs have emerged as the backbone of intelligent manufacturing, structuring complex relationships between components, materials, processes, and design

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GeoMorph: Revolutionizing Cortical Surface Registration with Geometric Deep Learning

GeoMorph: Revolutionizing Cortical Surface Registration with Geometric Deep Learning

Understanding Brain Surface Registration and Its Clinical Significance The human brain’s cortex is one of nature’s most complex structures, characterized by intricate folds and highly variable topography across individuals. This anatomical complexity presents a fundamental challenge for neuroscientists and clinical researchers: how can we reliably compare brain structures and functions across different people when each

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