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A Comparative Study of Graph Neural Network Layer Selection for Interaction Modelling in Driving Trajectory Prediction

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arXiv:2606. 14956v1 Announce Type: new Abstract: Autonomous driving systems rely on precise trajectory prediction to plan safe and efficient movement.

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Authors: George Daoud, Mohamed El-Darieby
Released: 2026-06-16 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because A Comparative Study of Graph Neural Network Layer Selection for Interaction Modelling in Driving Trajectory Prediction overlaps with experiment "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: model. Source: arxiv cs.LG (Machine Learning).
arXiv: 2606.14956

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