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。
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 (...
We propose an enhanced APT knowledge graph embedding method called APT-ST-AN to address the limitations of incomplete and sparse data in small-scale APT knowledge graphs. The proposed model introduces spatio-temporal attribute reasoning to enrich positive APT attack examples, thereby expanding the ...
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...
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...
Additionally, integrating data completion techniques, like knowledge graph completion, and using reinforcement learning based on user feedback can enhance the model's robustness and performance. More- over, exploring the combination of rough set theory with spatiotemporal information could further enhance ...
加权求和，指导结构感知学习。ST-Meta Graph Reconstruction预测边可能性，指导元知识重构，引入图重建损失优化。参数生成方法，节点元知识指导模型参数生成，减少参数量，适应不同场景。ST-GFSL学习过程遵循MAML的episode学习，从源数据集中采样训练任务，优化模型适应能力，实现小样本场景的高效学习。
Upload users’ spatio-temporal knowledge graph data based on customized service requirements, and then define relevant settings (B) for the back-end to parse the received data. After successful completion of the preceding steps, users can receive a link to access visualization results of three dist...
//doi.org/10.1080/17538947.2023.2220610 REVIEW ARTICLE Advances in spatiotemporal graph neural network prediction research Yi Wang School of Earth and Space Sciences, Peking University, Beijing, People's Republic of China ABSTRACT Being a kind of non-Euclidean data, spatiotemporal graph data exists ...
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 feature bank, long-term, correlat...