WebExisting relation learning models on heterogeneous graphs lack enough interpretation for the predicted results. In this paper, we propose IRL which can not only predict the relations but also interpret how the relations are generated. ... Semi-supervised Learning over Heterogeneous Information Networks by Ensemble of Meta-graph Guided Random ... WebMar 29, 2024 · A heterogeneous graph consists of different vertices and edges types. Learning on heterogeneous graphs typically employs meta-paths to deal with the heterogeneity by reducing the graph to a ...
Molecules Free Full-Text Identification of MiRNA–Disease ...
WebHeterogeneous Graph Learning. A large set of real-world datasets are stored as heterogeneous graphs, motivating the introduction of specialized functionality for them … WebIn this paper, to learn graph neural networks on heterogeneous graphs we propose a novel self-supervised auxiliary learning method using meta-paths, which are composite … city fresh boston ma
Molecules Free Full-Text Identification of MiRNA–Disease ...
WebMay 13, 2024 · A heterogeneous graph consists of different vertices and edges types. Learning on heterogeneous graphs typically employs meta-paths to deal with the heterogeneity by reducing the graph to a homogeneous network, guide random walks or capture semantics. These methods are however sensitive to the choice of meta-paths, … WebApr 23, 2024 · Graph neural networks (GNNs) have been widely used in deep learning on graphs. They can learn effective node representations that achieve superior … WebHowever, defining meaningful meta-paths requires much domain knowledge, which largely limits their applications, especially on schema-rich heterogeneous graphs like knowledge graphs. To alleviate this issue, in this paper, we propose to exploit the context path to capture the high-order relationship between nodes, and build a Context Path-based ... did abraham circumcise ishmael