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It uses a unique Frequency-Frame Interleaved (FFI) block to improve model performance while maintaining a small footprint.

This is a designed to predict drug interactions by exploiting heterogeneous graphs. It uses a "deep feature" approach by incorporating embeddings from both drug molecular graphs and biomedical knowledge graphs. Download TIGER exe

A novel framework that transforms Vision-Language Models (VLMs) into "geometric computers.". It uses a unique Frequency-Frame Interleaved (FFI) block

It utilizes a dual-channel network to capture both structural properties of drugs and broad biomedical node relationships. Download TIGER exe

TIGeR: Tool-Integrated Geometric Reasoning in Vision ... - arXiv