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geometric graph neural network

7 papers

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Also known as

GEOGNN

Co-occurring keywords · papers mentioning both

graph neural network (3) molecular property prediction (2) molecular graph (1) graph isomorphism (1) diversity sampling (1) structure prediction (1) zero-shot transfer (1) property prediction (1) protein language model (1) antibody design (1)

Papers

Pushing the Limits of All-Atom Geometric Graph Neural Networks: Pre-Training, Scaling, and Zero-Shot Transfer ICLR 2025 Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries ICLR 2025 Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism NeurIPS 2024 HAGO-Net: Hierarchical Geometric Message Passing for Molecular Representation Learning AAAI 2024 Neural P$^3$M: A Long-Range Interaction Modeling Enhancer for Geometric GNNs NeurIPS 2024 A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design NeurIPS 2023 On the Expressive Power of Geometric Graph Neural Networks ICML 2023