Determining complete atomic structures directly from microscopy images remains a long-standing challenge in materials science. MicroscopyGPT is a vision-language model (VLM) that leverages multimodal ...

To address these challenges, we introduce the structure-optimized complex-valued graph contrastive learning network (SCGCLN) for semi-supervised SAR image change detection. Specifically, we explore ...

Self-supervised learning approaches focus on learning representations from unlabeled data to achieve high precision, high accuracy, and rich representations. Transfer learning from natural images is ...

Graph Data Condensation via Self-expressive Graph Structure Reconstruction (KDD 2024) [KDD 2024] In this repository, we present the code of Graph Data Condensation via Self-expressive Graph Structure ...

Official implementation of the paper "Understanding Sparse Neural Networks from their Topology via Multipartite Graph Representations". Published at TMLR, April 2024 - eliacunegatti/mge-snn ...

Molecular structure recognition is the task of translating a molecular image into its graph structure. Significant variation in drawing styles and conventions exhibited in chemical literature poses a ...