在这篇文章中,我们提出了一个新的算法框架:Learning Embeddings based on Motifs Of the Network (LEMON)。 LEMON将各种motifs作为超顶点放入网络中,构建了一个由motif超顶点与网络中原始顶点之间的关系组成的异构网络。此外,为了将异构网络整合到 Skip-gram 模型 [27] 中,我们提出了一种主题步随机游走策略,以确保...
HMNE employs motifs to perform network embedding, representing nodes as hyper-nodes. HMNE utilizes the skip-gram model to get the embedding vectors by analyzing the sequence generated using a local random walk technique. Additionally, we consider hyper-motifs as super-nodes to highlight structural...
摘要:Since the invention of word2vec, the skip-gram model has significantly advanced the research of network embedding, such as the recent emergence of the DeepWalk, LINE, PTE, and node2vec approaches. In this work, we show that all of the aforementioned models with negative sampling can be...
概述:本文同时考虑到图的异构性和动态性的特点,对于图的每个时间切片,利用node-level attention和edge-level attention以上两个层次的注意力机制实现异质信息的有效处理,并且通过循环神经网络结合self-attention研究节点embedding的演化特性,并且通过链接预测任务进行试验,验证模型的有效性。 链接:https://arxiv.org/pdf/20...
structures and properties that are not considered in the existing NRL approaches. Network motifs and hypernetwork embedding, used to naturally indicate richer relationships among nodes, are among complex structures to be incorporated into an embedding space in an effective manner to provide more ...
other mathematical tools offer a deeper exploration of the organizing principles underpinning observed complexity. Fractal analysis is one such example that explores the self-similarity of a system across scales by detecting the prevalence of hierarchically repeating motifs137,138,139. Characterizations of ...
(a) Schematic diagram of a temporal network; (b) mapping of nodes in the temporal network to low-dimensional embedding vectors; (c) segmentation of nodes with high similarity using a clustering algorithm; (d) selection of high-influence nodes within vital cluster to form the final set of ...
(WT) cells,CebpaKO cells andCebpeKO cells in the force-directed graph embedding space. Estimated kernel density data are shown as a contour line on a scatter plot to depict cell density.e, Cell-type proportions in the WT and ground-truth KO samples. Gra, granulocyte; KDE, kernel density ...
Protein features fusion using attributed network embedding for predicting protein-protein interaction Mei-Yuan Cao Suhaila Zainudin Kauthar Mohd Daud BMC Genomics(2024) State of the interactomes: an evaluation of molecular networks for generating biological insights ...
Hypergraph Modeling via Spectral Embedding Connection: Hypergraph Cut, Weighted Kernel k-Means, and Heat Kernel (AAAI, 2022) [paper] Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs (AAAI, 2021) [paper] Stock Selection via Spatiotemporal Hypergraph Atten...