PreGS: A Parameter-Transfer-Based Multi-Expert Graph Neural Network for Node Classification

arXiv:2609.26310 · cs.LG · Submitted 2026-09-22 · Read on arXiv

cs.LG

Submitted: 2026-09-22

Updated: 2026-09-22

Comments: 12 pages, 3 figures, 7 tables

Code: https://github.com/LH-Czc/PreGS

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Aggregation — 54× in this paper · explained in 1 episode
• GNNs — 13× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Ablation — 8× in this paper · explained in 1 episode
• Distillation — 8× in this paper · explained in 2 episodes
• Consistency — 7× in this paper · explained in 3 episodes
• Representation Learning — 7× in this paper · explained in 2 episodes
• Transformer — 7× in this paper · explained in 2 episodes
• Aggregation Function — 4× in this paper · explained in 1 episode
• Knowledge Distillation — 4× in this paper · explained in 11 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Attention Mechanism — 3× in this paper · explained in 3 episodes
• Ablation study — 2× in this paper · explained in 1 episode
• Embeddings — 2× in this paper · explained in 2 episodes
• Mixture of Experts — 2× in this paper · explained in 2 episodes
• Activation Function — 1× in this paper · explained in 1 episode
• Actor — 1× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Decoupled Learning — 1× in this paper · explained in 2 episodes
• Ensemble Learning — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Graph Neural Networks (GNNs) — 1× in this paper · explained in 7 episodes
• Heterogeneous Graph — 1× in this paper · explained in 2 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

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