In this paper, we propose a predictive representation learning (PRL) model, which unifies node representations and motif-based structures, to improve prediction ability of NRL. We firstly enhance node representations based on motif-biased random walks and then employ L2-SVM to learn motif-connected...
[11] Yu Y, Lu Z, Liu J, et al. RUM: Network Representation Learning Using Motifs[C]. international conference on data engineering, 2019: 1382-1393. [12] Monti F, Otness K, Bronstein M M, et al. MotifNet: a motif-based Graph Convolutional Network for directed graphs[J]. arXiv: ...
DeepGL20 leverages motif learning to induce relational functions, serving as a general inductive graph representation learning framework. A paper21 introduces a generalized motif-based framework for network clustering. The clusters formed based on this framework can be mathematically guaranteed to be ...
This mode shows the internal PWM representation of motifs, as well P-values for the min and max possible scores (with some in-between scores). Basic information about sequences is output, including size, GC percent, and the number of non-DNA/RNA letters found. If a BED file is also pro...
Motif-driven molecular graph representation learning Graph Neural Networks (GNNs) have emerged as powerful tools for molecular graph analysis. Subgraph-based GNNs focus on learning high-level local patterns b... Runze Wang,Yuting Ma,Xingyue Liu,... - Expert Systems with Applications 被引量: 0 ...
We improve the graph convolution operation by combining the edge information of the first-order neighborhood with motif-structure information, so that the representation ability of the model can be further improved. Figure 1 3-node motifs and 4-node motifs. Full size image Definition 1 The edge-...
Fig. 1. Definition of the mobile domains of APH based on correlations calculated using the GNM. (a) Structural representation of the domains. Domain I (cyan), domain II (blue), and domain III (green) of APH are shown with the substrates Mg2+ADP and kanamycin A bound between the domains...
aSchematic workflow for motif detection based on ak-mer graph.bDescription of the MRA (Motif Recognition Algorithm) Full size image Theoretically, the initial range of IC,rangeICK, should be [0k, 0.61k], where the extrema represent -- the worst and best explicitness -- motifs with random ...
Graphlet degree vector of host protein in host PPI networks Jindalertudomdee et al. (2016) Gene Ontology (GO) annotations The count of the interacting proteins that belong to each GO term Mei (2013), Mei and Zhu (2014a,b) The count of the co-occurrence of GO terms for interacting pro...
A deluge of new data on real-world networks suggests that interactions among system units are not limited to pairs, but often involve a higher number of nodes. To properly encode higher-order interactions, richer mathematical frameworks such as hypergrap