Decoupled Structure-Feature Alignment via Alternating Optimization for Graph Learning

arXiv:2607.11577 · cs.LG, cs.AI · Submitted 2026-07-13 · Read on arXiv

cs.LG, cs.AI

Submitted: 2026-07-13

Updated: 2026-08-29

Terminology

• Alignment — 20× in this paper · explained in 1 episode
• Accuracy — 19× in this paper · explained in 1 episode
• Aggregation — 19× in this paper · explained in 1 episode
• Benchmark — 10× in this paper · explained in 2 episodes
• GNNs — 10× in this paper · explained in 2 episodes
• Robustness — 9× in this paper · explained in 5 episodes
• Loss Function — 7× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Consistency — 6× in this paper · explained in 3 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• Regularization — 5× in this paper · explained in 3 episodes
• Representation Learning — 5× in this paper · explained in 2 episodes
• Adjacency Matrix — 4× in this paper · explained in 1 episode
• Graph Structure Learning — 4× in this paper
• In International Conference on Learning Representations — 4× in this paper
• Adam — 3× in this paper · explained in 2 episodes
• Core — 3× in this paper · explained in 2 episodes
• Graph Neural Networks (GNNs) — 3× in this paper · explained in 7 episodes
• Latent Representation — 3× in this paper · explained in 2 episodes
• Latent Representations — 3× in this paper · explained in 3 episodes
• Over-smoothing — 3× in this paper · explained in 4 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Adaptability — 2× in this paper · explained in 1 episode
• Distillation — 2× in this paper · explained in 2 episodes
• Graph Convolutional Network — 2× in this paper
• Heterogeneous Graph — 2× in this paper · explained in 2 episodes
• Meta-learning — 2× in this paper · explained in 2 episodes
• Semi-supervised Learning — 2× in this paper · explained in 4 episodes
• Ablation study — 1× in this paper · explained in 1 episode
• Activation Function — 1× in this paper · explained in 1 episode
• Alternating Optimization Scheme — 1× in this paper · explained in 1 episode
• Computational overhead — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Dynamic Gating Mechanism — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative Adversarial Networks (GANs) — 1× in this paper · explained in 3 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Knowledge Distillation — 1× in this paper · explained in 11 episodes
• Multi-Layer Perceptron — 1× in this paper
• Objective Function — 1× in this paper · explained in 2 episodes
• Stochastic Gradient Descent (SGD) — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Unified Framework — 1× in this paper · explained in 5 episodes

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