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...
Information fusion Explainable AI xAI Graph Neural Networks Multi-modal causability Knowledge graphs Counterfactuals 1. Introduction Current medical AI is very successful in certain tasks due to the great advances in statistical machine learning. One of the most cited examples is the work of Esteva et...
First person video summarization using different graph representations Pattern Recogn. Lett. (2021)View more references Cited by (5) Implicit embedding based multi modal attention network for Cricket video summarization 2025, Engineering Applications of Artificial Intelligence Show abstract DHMDL: Dynamically...
Three graph types ( static, temporal, multi-modal KGs) Static knowledge graph(KG) : is defined as SKG = {E, R, F }, where E, R, and F represent the sets of entities, relations, and facts. The fact is in a triplet format(e_h, r, e_t)∈ F, wheree_h, e_t ∈ E, andr ...
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; ...
This result could be due to the fact that edges with higher reliability scores are associated with the stronger connections. Our graph theoretical properties are dependent on connection strength, and the stronger the connection, the more variance it accounts for in the higher order network values. ...
Graph Attention Network Approach: The agent utilizes GAT to assign different weights to neighboring nodes to determine whether they belong to the same adjacency layer or span across different scenes. In this way, GAT extracts features from the MMSG based on different scenes, enabling it to make ...
Corporate Relative Valuation using Heterogeneous Multi-Modal Graph Neural Network. IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2021. (CCF-A). Code Yang Yang, Hong-Chen Wei, Heng-Shu Zhu, Dian-Hai Yu, Hui Xiong, Jian Yang. Exploiting Cross-Modal Prediction and Relation ...
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...
Indoor functional subspace division from point clouds based on graph neural network International Journal of Applied Earth Observation and Geoinformation, Volume 127, 2024, Article 103656 Han Yue,…, Chun Liu View PDF Utilizing a single-temporal full polarimetric Gaofen-3 SAR image to map coseismic ...