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Degraded but Not Entirely Ineffective: PE-Based Deformable Graph Neural Networks
BACKGROUND
1 SIGNALFIRST DETECTED 16 September 2026
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16 Sept
Degraded but Not Entirely Ineffective: PE-Based Deformable Graph Neural Networks
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
30 Apr
Momentum-Conserving Graph Neural Networks for Deformable Objects
arXiv:2604.26097v1 Announce Type: cross Abstract: Graph neural networks (GNNs) have emerged as a versatile and efficient option for modeling the dynamic behavior of deformable
REPORT · WHAT · ArXiv CS.AIOPEN STORY
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