Transductive linear probing: A novel framework for few-shot node classification

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One for all: Towards training one graph model for all classification tasks

H Liu, J Feng, L Kong, N Liang, D Tao, Y Chen… - ar** machine learning (ML) models
that can promote fairness, ie, eliminating biased predictions towards certain populations (eg …
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Fast Graph Sharpness-Aware Minimization for Enhancing and Accelerating Few-Shot Node Classification

Y Luo, Y Chen, S Qiu, Y Wang… - Advances in …, 2025 - proceedings.neurips.cc
Abstract Graph Neural Networks (GNNs) have shown superior performance in node
classification. However, GNNs perform poorly in the Few-Shot Node Classification (FSNC) …
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