research
∙
06/14/2022
Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search
Improving the quality of search results can significantly enhance users ...
share
research
∙
12/01/2021
Monolith to Microservices: Representing Application Software through Heterogeneous GNN
Monolith software applications encapsulate all functional capabilities i...
research
∙
02/07/2021
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application
Microservices are becoming the defacto design choice for software archit...
research
∙
12/07/2020
Semi-supervised Soil Moisture Prediction through Graph Neural Networks
Recent improvement and availability of remote satellite and IoT data off...
research
∙
11/28/2020
Self-Expressive Graph Neural Network for Unsupervised Community Detection
Graph neural networks are able to achieve promising performance on multi...
research
∙
07/20/2020
Integrating Network Embedding and Community Outlier Detection via Multiclass Graph Description
Network (or graph) embedding is the task to map the nodes of a graph to ...
research
∙
07/19/2020
Robust Hierarchical Graph Classification with Subgraph Attention
Graph neural networks get significant attention for graph representation...
research
∙
06/08/2020
Unsupervised Graph Representation by Periphery and Hierarchical Information Maximization
Deep representation learning on non-Euclidean data types, such as graphs...
research
∙
02/09/2020
Line Hypergraph Convolution Network: Applying Graph Convolution for Hypergraphs
Network representation learning and node classification in graphs got si...
research
∙
12/11/2019
Beyond Node Embedding: A Direct Unsupervised Edge Representation Framework for Homogeneous Networks
Network representation learning has traditionally been used to find lowe...
research
∙
11/19/2018
