GAPointNet: graph attention based point neural network for exploiting local feature of point cloud. Neurocomputing 438, 122–132 (2021). Article Google Scholar Fenton, M. J. et al. Permutationless many-jet event reconstruction with symmetry preserving attention networks. Phys. Rev. D 105, ...
[23] T. Kawamoto, M. Tsubaki, and T. Obuchi, “Mean-field theory of graph neural networks in graph partitioning,” in NeurIPS 2018, 2018, pp. 4366–4376. [24] F. Scarselli, M. Gori, A. C. Tsoi, M. Hagenbuchner, and G. Monfardini, “The graph neural network model,” IEEE TN...
Physnet: a neural network for predicting energies, forces, dipole moments, and partial charges. J. Chem. Theory Comput. 15, 3678–3693 (2019). Article CAS Google Scholar Schmidt, J., Pettersson, L., Verdozzi, C., Botti, S. & Marques, M. A. L. Crystal graph attention networks for...
graph attention network (GAT), gated graph neural network (GGNN) have demonstrated ground-breaking performance on many tasks mentioned above. In this survey, we provide a detailed review over existing graph neural network models, systematically categorize the applications...
Must-read papers on graph neural networks (GNN). Contribute to WellWang/GNNPapers development by creating an account on GitHub.
(GGNN) have demonstrated ground-breaking performance on many tasks mentioned above. In this survey, we provide a detailed review over existing graph neural network models, systematically categorize the applications, and propose four open problems for future research.大量的学习任务需要处理包含丰富元素间...
M Zhang,P Li,Y Xia,K Wang,L Jin 摘要: In this paper, we provide a theory of using graph neural networks (GNNs) for multi-node representation learning (where we are interested in learning a representation for a set of more than one node, such as link). We know that GNN is designed...
资料分析教案图网络综述graph neural networks a review of methods and applications.pdf,1 Graph Neural Networks: A Review of Methods and Applications Jie Zhou , Ganqu Cui , Zhengyan Zhang , Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun Ab
Yu Wang Zaiyi Liu Xiaoke Ma Genome Biology (2024) Benchmarking clustering, alignment, and integration methods for spatial transcriptomics Yunfei Hu Manfei Xie Xin Maizie Zhou Genome Biology (2024) Metric multidimensional scaling for large single-cell datasets using neural networks Stefan Canzar...
Increasing the binding affinity of an antibody to its target antigen is a crucial task in antibody therapeutics development. This paper presents a pretrainable geometric graph neural network, GearBind, and explores its potential in in silico affinity mat