Dihedron Algebraic Embeddings for Spatio-temporal Knowledge Graph Completion 找了三十多篇做STKG的,其他论文要么是建立一个概念上的STKG五元组,要么就只是把时间和空间作为一个实体/关系嵌入到知识图谱中,今天终于找到了自己最想看的论文了! 0. Abstract 许多知识图谱(KG)包含空间和时间信息。大多数KG嵌入模型遵循...
ST-Meta Graph Reconstruction进一步设计用于通过重建不同城市的结构关系来进行结构感知元训练。 ST-GFSL 的端到端学习过程遵循基于MAML的episode learning。通过模拟目标城市的小样本场景,对批量的小样本训练任务进行采样,得到适应性强的基础模型。 Spatio-Temporal Neural Network 时空神经网络(STNN)可以分为特征提取器和...
Hypercomplex algebra provides the foundation of a well defined mathematical system among which the Dihedron algebra with its rich framework is suitable to handle multidimensional knowledge. In this paper, we propose an embedding model that uses Dihedron algebra for learning such spatial and temporal ...
Learning sequence encoders for temporal knowledge graph completion. In: Empirical Methods in Natural Language Processing (EMNLP). pp. 4816–4821. Google Scholar Ge et al., 2021 C. Ge, X. Liu, L. Chen, et al. LargeEA: aligning entities for large-scale knowledge graphs VLDB Endowment (...
时空知识图谱,顾名思义,是具有地理时空分布或位置隐喻的知识构成的有向图,即以时空分布特征为核心的知识图谱(Spatial-temporal Knowledge Graph,或Geo-related Knowledge Graph,以下简称GeoKG)。GeoKG旨在通过计算机规范化表达与存储与地理时空分布相关的知识集合,进而支持地理时空分布或位置相关知识检索与知识推理。其中的图...
spatio-temporal graph model for video captioning that exploits object interactions in space and time two-branch, knowledge distillatio 2 Related Work General Video Classification 3D conv two-stream, optical flow wider range SlowFast, multiple time scales, two pathways ...
Geng X, Li Y, Wang L, Zhang L, Yang Q, Ye J, Liu Y (2019) Spatiotemporal multi-graph convolution network for ride-hailing demand forecasting. Proceedings of the AAAI conference on artificial intelligence 33:3656–3663 Google Scholar Ghani NA, Hamid S, Hashem IAT, Ahmed E (2019) Socia...
Spatiotemporal regulation of the cellular transcriptome is crucial for proper protein expression and cellular function. However, the intricate subcellular dynamics of RNA remain obscured due to the limitations of existing transcriptomics methods. Here, w
研究贡献: propose a model-agnostic few-shot learning framework for spatio-temporal graph called ST-GFSL p1:model-agnostic:的解释?? 未来研究方向:taxi demand forecasting、从多源 multi source做知识迁移 Introduction 挑战: How toadapt feature extraction in target cityviathe knowledge from multiple source...
To visualize the spatio-temporal map of the scene after running Khronos, run the following in commandline: roslaunch khronos_ros 4d_visualizer.launch The visualizer will load the map located (by default) inoutput/tmp. If you save the map elsewhere, be sure to modify the path in4d_visualizer...