aiBACKGROUND
Towards Multi-Label Graph Foundation Models: from Single-Vector Representation L
BACKGROUND
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10 Aug
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13 Apr
GNN-as-Judge: Unleashing the Power of LLMs for Graph Learning with GNN Feedback
arXiv:2604.08553v1 Announce Type: cross Abstract: Large Language Models (LLMs) have shown strong performance on text-attributed graphs (TAGs) due to their superior semantic
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18 Jun
Graph Neural Networks for Semi-Supervised Image Classification with Multi-Feature Aggregation
arXiv:2606.17406v1 Announce Type: cross Abstract: Feature extraction involves the identification and extraction of salient characteristics or patterns, including edges, textures,
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11 May
GraphDC: A Divide-and-Conquer Multi-Agent System for Scalable Graph Algorithm Reasoning
arXiv:2605.06671v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated strong potential for many mathematical problems. However, their performance on graph
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