In this regard, we propose an integrated framework guiding diffusion process at each node by a downstream transformer where both short- and long-range properties of graphs are aggregated via diffusion-kernel and multi-head attention respectively. We demonstrate the superiority of our model by ...
Graph Structure Prefix Injection Transformer for Multi-modal Entity AlignmentOverviewThe overall framework of GSIEA. Dependenciespip install -r requirement.txtDetailsPython (>= 3.7) PyTorch (>= 1.6.0) numpy (>= 1.19.2) easydict (>= 1.10) unidecode (>= 1.3.6) tensorboard (>= 2.11.0)Train...
Graph Transformer for Graph-to-Sequence Learning. AAAI 2020. paper Deng Cai, Wai Lam. Multi-‐label Patent Categorization with Non-‐local Attention-‐based Graph Convolutional Network. AAAI 2020. paper Pingjie Tang, Meng Jiang, Bryan (Ning) Xia, Jed Pitera, Jeff Welser, Nitesh Ch...
Optimized Deployment of Intelligent Multi-Modal Sensor Network Based on Graph Transformer 来自 IEEEXplore 喜欢 0 阅读量: 1 作者:Wei Wang,Naiyu Cui,Hefei Gao,Jiaxin Wu,Rongfang Du 摘要: To address the issues of node redundancy, uneven distribution, and high energy consumption caused by random ...
[1]GraphBEV: Towards Robust BEV Feature Alignment for Multi-Modal 3D Object Detection 写在最后 欢迎star和follow我们的仓库,里面包含了BEV/多模态融合/Occupancy/毫米波雷达视觉感知/车道线检测/3D感知/多模态融合/在线地图/多传感器标定/Nerf/大模型/规划控制/轨迹预测等众多技术综述与论文; ...
Hu J, Qian S, Fang Q, Xu C (2019) Hierarchical graph semantic pooling network for multi-modal community question answer matching. Proceedings of the 27th ACM International Conference on Multimedia, pp 1157–1165 Hu W, Shuaibi M, Das A, Goyal S, Sriram A, Leskovec J, Parikh D, Zitnick...
摘要: Developed a multi-modal, multi-task framework for glioma diagnosis.Integrated Swin-Transformer v2 with contrastive learning to enhance image features.Implemented a novel gene selection method to reduce data redundancy.Enhanced feature quality with cross-modal attention and divergence regularization....
从不同的传感器(包括LiDAR和相机)获取输入,我们首先应用特定于模态的编码器,Swin-Transformer作为相机编码器,Second作为LiDAR编码器,以提取他们各自的特点。然后,通过我们提出的LocalAlign模块将相机特征转换为相机BEV特征,旨在减轻先前基于BEV的方法在相机到BEV过程中由LiDAR和相机之间的投影误差引起的局部未对齐。然后沿轴...
AttentionMGT-DTA A multi-modal drug-target affinity prediction using graph transformer and attention mechanism.pdf 2.8M · 百度网盘 摘要 药物靶向亲和力(DTA)的准确预测是药物发现和设计的关键步骤。传统的实验非常昂贵和耗时。近年来,深度学习方法在DTA预测中取得了显著的性能改进。然而,基于深度学习的模型面临的...
LanczosNet: Multi-Scale Deep Graph Convolutional Networks.ICLR 2019.paper Renjie Liao, Zhizhen Zhao, Raquel Urtasun, Richard Zemel. Invariant and Equivariant Graph Networks.ICLR 2019.paper Haggai Maron, Heli Ben-Hamu, Nadav Shamir, Yaron Lipman. ...