{"total":23,"rows":[{"id":"2209.03299","title":"Multimodal learning with graphs","created":"2022-09-07","cited_by_count":54,"area":null},{"id":"2207.04869","title":"Graph-based Molecular Representation Learning","created":"2022-07-08","cited_by_count":51,"area":null},{"id":"2305.10418","title":"Towards Multi-Layered 3D Garments Animation","created":"2023-05-17","cited_by_count":16,"area":null},{"id":"2501.01100","title":"Long-range Brain Graph Transformer","created":"2025-01-02","cited_by_count":12,"area":null},{"id":"2301.08893","title":"Spatial Attention Kinetic Networks with E(n)-Equivariance","created":"2023-01-21","cited_by_count":11,"area":null},{"id":"2402.04821","title":"E(3)-Equivariant Mesh Neural Networks","created":"2024-02-07","cited_by_count":9,"area":null},{"id":"2504.06087","title":"Accurate Ab-initio Neural-network Solutions to Large-Scale Electronic Structure Problems","created":"2025-04-08","cited_by_count":8,"area":null},{"id":"2211.14207","title":"Invariance-Aware Randomized Smoothing Certificates","created":"2022-11-25","cited_by_count":7,"area":null},{"id":"2302.08261","title":"Knowledge-augmented Graph Machine Learning for Drug Discovery: A Survey","created":"2023-02-16","cited_by_count":6,"area":null},{"id":"2410.07972","title":"Learning Equivariant Non-Local Electron Density Functionals","created":"2024-10-10","cited_by_count":6,"area":null},{"id":"2205.07852","title":"REMuS-GNN: A Rotation-Equivariant Model for Simulating Continuum Dynamics","created":"2022-05-05","cited_by_count":3,"area":null},{"id":"2208.11934","title":"Domain-informed graph neural networks: a quantum chemistry case study","created":"2022-08-25","cited_by_count":3,"area":null},{"id":"2302.13577","title":"DuEqNet: Dual-Equivariance Network in Outdoor 3D Object Detection for Autonomous Driving","created":"2023-02-27","cited_by_count":3,"area":null},{"id":"2509.06580","title":"AI for Scientific Discovery is a Social Problem","created":"2025-09-08","cited_by_count":3,"area":null},{"id":"2305.13315","title":"3D Molecular Geometry Analysis with 2D Graphs","created":"2023-05-01","cited_by_count":1,"area":null},{"id":"2401.16299","title":"Enhancing Molecular Property Prediction with Auxiliary Learning and Task-Specific Adaptation","created":"2024-01-29","cited_by_count":1,"area":null},{"id":"2410.05278","title":"Dumpling GNN: Hybrid GNN Enables Better ADC Payload Activity Prediction Based on Chemical Structure","created":"2024-09-23","cited_by_count":1,"area":null},{"id":"2412.08835","title":"Grothendieck Graph Neural Networks Framework: An Algebraic Platform for Crafting Topology-Aware GNNs","created":"2024-12-12","cited_by_count":1,"area":null},{"id":"2306.10066","title":"On the Interplay of Subset Selection and Informed Graph Neural Networks","created":"2023-06-15","cited_by_count":0,"area":null},{"id":"2308.04943","title":"Differentially Private Graph Neural Network with Importance-Grained Noise Adaption","created":"2023-08-09","cited_by_count":0,"area":null},{"id":"2404.16911","title":"HEroBM: a deep equivariant graph neural network for universal backmapping from coarse-grained to all-atom representations","created":"2024-04-25","cited_by_count":0,"area":null},{"id":"2508.04098","title":"Hybrid Quantum--Classical Machine Learning Potential with Variational Quantum Circuits","created":"2025-08-06","cited_by_count":0,"area":null},{"id":"2606.15892","title":"Scalar-pathway fidelity improves physical accuracy in short-range equivariant interatomic potentials","created":"2026-06-14","cited_by_count":0,"area":null}],"next_cursor":null}