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20232025
most citedCan Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence

3 citations · 7 across the 4 of their papers we have counts for

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2 papers · 1 filter

cs.LG2024★ 2 cited

Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification

Yuankai Luo, Lei Shi, Xiao-Ming Wu

Graph Transformers (GTs) have recently emerged as popular alternatives to traditional message-passing Graph Neural Networks (GNNs), due to their theoretically superior expressivene…

cs.LG2024

Node Identifiers: Compact, Discrete Representations for Efficient Graph Learning

Yuankai Luo, Hongkang Li, Qijiong Liu +2

We present a novel end-to-end framework that generates highly compact (typically 6-15 dimensions), discrete (int4 type), and interpretable node representations, termed node identif…