Despite recent emergence of various Graph Neural Networks (GNNs) to effectively capture the relational information, there remain inherent limitations in interpreting the brain networks. Specifically, convolutional approaches ineffectively aggregate information from distant neighborhoods, while attention-based ...
This repository contains the code and data for the paper "Multi-Modal Graph Neural Networks for Localized Off-Grid Weather Forecasting". The paper presents a novel multi-modal graph neural network (GNN) that downscales gridded weather forecasts, such as ERA5, to provide accurate off-grid predic...
Multi-channel graph neural network for entity alignment CarvalhoM. et al. Cross-modal retrieval in the cooking context: Learning semantic text-image embeddings ChenZ. et al. Meaformer: Multi-modal entity alignment transformer for meta modality hybrid ChenC. et al. Survey and open problems in ...
Visual question answering model based on graph neural network and contextual attention Visual Question Answering (VQA) has recently appeared as a hot research area in the field of computer vision and natural language processing. A VQA model u... H Sharma,AS Jalal - 《Image & Vision Computing》...
Wei Y., Wang X., Nie L., He X., Hong R. and Chua T. MMGCN: Multi-modal graph convolution network for personalized recommendation of micro-video. MM, 2019. 概 推荐领域里比较早的多模态方法. 符号说明 UU, user set; II, item set; ...
Thus, it is necessary to explore the knowledge of polypharmacy side effects from the interaction network with complex relationships. In this paper, we propose a novel multi-modal graph convolutional neural network (M2GCN) for link prediction in multi-modal networks which consist of protein-protein ...
这体现在Cornac丰富的推荐模型集合中,它集成了各种辅助数据类型,即文本(Text)、图(Graph)和图像(Image),以及处理这些模态的标准化pipelines。除了方便使用辅助数据,这种标准化的一个关键方面是通过允许跨模式的利用来扩大现有模型的使用范围,我们将在本教程的最后部分探讨这个问题。关于Cornac的主要模块的更多概念性介绍...
然后,我们提出了多模态知识图谱注意网络(multimodal Knowledge Graph Attention Network, MKGAT),它从两个方面对多模态知识图谱建模:1)实体信息聚合,聚合实体的邻居节点信息,丰富实体本身;2)实体关系推理,利用三元组的分数函数(如TransE)构建推理关系。首先提出了一种改进图注意神经网络(GATs)的新方法,该方法在考虑知识...
Multi-modal knowledge graph (KG) MKG is composed of knowledge facts where more than one modalities exist. alt text alt text 模型分为基于transformer以及 不基于trandformer的模型 基于Transformer 的模型通常被采用作为多模态问题的统一范式,因为它们在扩展到不同模态时具有良好的能力。
Systems uses graph convolutional networks (GCN) and meta-path-based graph neural networks (GNN) to store features that make the user-item interaction space more dependable. A GCN decoder reconstructs the user-item interaction network to enhance system understanding, while a multi-class classifier ...