Based on the hyperbolic graph neural network, dependent syntactic information and information optimization strategies are introduced to solve the problem of word embedding concentration. Simultaneously, to miti
proposing a fully hyperbolic neural network based on the Lorentz model, without the need to switch between hyperbolic and Euclidean spaces. They provided a general formula for feature transformations in hyperbolic linear layers, incorporating activation, dropout...
virtualenv -p [PATH to python3.7 binary] hgcn source hgcn/bin/activate pip install -r requirements.txt 2.3 Datasets Thedata/folder contains source files for: Cora Pubmed Disease Airport To run this code on new datasets, please add corresponding data processing and loading inload_data_ncandloa...
In the binary network embedding model, the popularity is higher and the probability is greater between nodes with greater similarity. Unlike binary networks, directed networks should be linked by trading off four types of forces, namely, the similarity and popularity in each set (set A or set ...
It greedily embeds a spanning tree T into a dyadic tree metric space by transforming T into a weight-balanced binary tree, then embeds the dyadic tree into H2. The similar approach [21] is used for the greedy embedding of 3-connected planer graphs in R2. The work of Király and Kis...
Binary classifiers based on supervised machine learning are very accurate at classifying network data into two categories: normal traffic and anomalous activity. Most problems with supervised learning are related to the large amount of data required to train the classifiers. Feature selection can be ...
Heat and mass transfer of a hybrid nanofluid flow with binary chemical reaction over a permeable shrinking surface. Chin J Phys. 2022;76:283–98.10.1016/j.cjph.2021.10.041Search in Google Scholar [26] Zainal NA, Nazar R, Naganthran K, Pop I. Flow and heat transfer over a permeable ...
Hyperbolic disc embedding and k-core percolation reveal the hierarchical structure of functional connectivity on resting-state fMRI (rsfMRI). Using 180 normal adults’ rsfMRI data from the human connectome project database, we visualized inter-voxel rela
virtualenv -p [PATH to python3.7 binary] hgcn source hgcn/bin/activate pip install -r requirements.txt 2.3 Datasets Thedata/folder contains source files for: Cora Pubmed Disease Airport To run this code on new datasets, please add corresponding data processing and loading inload_data_ncandloa...