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This paper introduces TH-GNN, a heterogeneous temporal graph neural network that fuses graph structure and textual semantics to detect shilling attacks generated by LLM agents in recommender systems, achieving superior performance over existing methods.
This preliminary technical report proposes RIG-RoPE, a relation- and instance-gated rotary positional encoding with duration-aware temporal coordinates, aiming to address spatial interference and improper temporal scaling in multimodal LLMs. It introduces a gating mechanism for height/width rotations and duration-aware temporal coordinates, but leaves large-scale empirical validation to future work.
Helix4D introduces a framework for high-quality dynamic 4D mesh generation from video by extending Trellis2 with cross-frame attention and a 4D temporal encoding that repurposes redundant spatial RoPE bands without adding parameters.