Engineer's Paper Data Collection Notebook Filler Polar X circles Y spokes Degrees or Radians Ledger Accounting Financial Log/Semi-Log Full or Semi Log Up to 6 Cycles Spider Graph X Polygons Y Spokes Classic Writing The documents generated here are considered to be in the Public Domain. ...
Y.F. developed the method, wrote the code and performed the analysis. Q.Z. polished the paper. Z.C. and X.Z. participated in the development of the algorithm and benchmarked the methods. H.C., Q.Z., N.Z., X.F. and X.S. provided a lot of advice on KG construction and ...
Knowledge graph,as an intelligent and efficient way for knowledge organization,enables users to quickly and accurately query the information they need.In this paper,we provide a comprehensive survey on the development and construction of knowledge graph by reviewing and summarizing recent advances in the...
This shows that the pavement information search engine based on the knowledge graph designed in this paper achieved the design goal. Application of KG-Pavement to Analyze a Typical Pavement Structure and the Main Damage Type According to the classification and analysis of the relationship between the...
Selection from a dozen standard paper sizes, or custom create your own Graphs saved as pdf files, so you can print them whenever you wish Choose whatever color you want for the lines Specify independent line weights for the X and Y axis lines Specify the range and spacing of axis la...
Neural message passing algorithms for semi-supervised classification on graphs have recently achieved great success. However, for classifying a node these methods only consider nodes that are a few propagation steps away and the size of this utilized neighborhood is hard to extend. In this paper, ...
Summary: This paper studies the rainbow connection number of the power graph $Γ_G$ of a finite group $G$. We determine the rainbow connection number of $... X Ma,M Feng,K Wang - 《Graphs & Combinatorics》 被引量: 23发表: 2016年 The Undirected Power Graph of a Finite Group The po...
In this paper, we study the PPI problem from a hierarchical graph perspective and develop a hierarchical graph learning model named HIGH-PPI to predict PPIs. Empirically, HIGH-PPI for PPI prediction outperforms leading methods by a significant margin. The hierarchical graph exhibits high generalizatio...
& Lipman, Y. Provably powerful graph networks. In Wallach, H. et al. (eds.) Advances in Neural Information Processing Systems, vol. 32 (Curran Associates, Inc., 2019). https://proceedings.neurips.cc/paper/2019/file/bb04af0f7ecaee4aae62035497da1387-Paper.pdf. Xu, K., Hu, W., ...
Manning, Andrew Y. Ng. "Reasoning With Neural Tensor Networks for Knowledge Base Completion". NIPS 2013. paper reviews (TransE) Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, Oksana Yakhnenko. "Translating Embeddings for Modeling Multi-relational Data". NIPS 2013. paper ...