aiBACKGROUND
Graph Neural Networks for Semi-Supervised Image Classification with Multi-Featur
BACKGROUND
1 SIGNALFIRST DETECTED 18 June 2026
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How the story developed
18 Jun
Graph Neural Networks for Semi-Supervised Image Classification with Multi-Feature Aggregation
REPORT · WHAT · ArXiv CS.AI
Other feeds and industry voices
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
REPORT · WHERE · ArXiv CS.AIOPEN STORY
10 Aug
Towards Multi-Label Graph Foundation Models: from Single-Vector Representation Learning to Multi-Semantic Basis Learning
arXiv:2608.06394v1 Announce Type: new Abstract: Multi-label node classification is an important yet challenging task in graph learning, where nodes exhibit multiple semantics
REPORT · WHERE · ArXiv CS.AIOPEN STORY
30 Jun
Beyond Sparse Supervision: Diffusion-Guided Learning for Few-Shot Graph Fraud Detection
arXiv:2606.28134v1 Announce Type: cross Abstract: Graph-based fraud detection is essential for safeguarding large-scale transaction systems, where undetected anomalies may lead to
REPORT · WHERE · ArXiv CS.AIOPEN STORY
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ArXiv CS.AI
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