- Graph Embedding Based API Graph Search and Recommendation🔍
- Understanding Graph Embeddings🔍
- What are graph embedding?🔍
- A review of recommender systems based on knowledge graph ...🔍
- An overview of knowledge graph|based recommendation systems🔍
- Graph Embeddings for Web|scale Recommender Systems🔍
- Unsupervised Graph Embeddings for Session|based ...🔍
- Recommending Analogical APIs via Knowledge Graph Embedding🔍
Graph Embedding Based APi Graph Search and Recommendation
Graph Embedding Based API Graph Search and Recommendation
Abstract. Searching application programming interfaces (APIs) is very important for developers to reuse software projects. Existing natural language based ...
Graph Embedding Based API Graph Search and Recommendation
Searching application programming interfaces (APIs) is very important for developers to reuse software projects.
Graph Embedding Based API Graph Search and Recommendation
Abstract. Searching application programming interfaces (APIs) is very important for developers to reuse software projects. Existing natural language based API ...
Graph Embedding Based API Graph Search and Recommendation
Abstract. Searching application programming interfaces (APIs) is very important for developers to reuse software projects. Existing natural language based ...
Graph Embedding Based API Graph Search and Recommendation
Graph Embedding Based API Graph Search and Recommendation. https://doi.org/10.1007/s11390-019-1956-2 ·. Journal: Journal of Computer Science and Technology, ...
Understanding Graph Embeddings - TigerGraph
Learn more about what graph embeddings are and how they're used to accelerate real-time analytics. Find out about graph embedding algorithms ...
What are graph embedding? - Data Science Stack Exchange
... find the similar ones by plotting these vectors and this makes recommendation easy. ... Works based on "Graph Embeddings": - Deep Graph ...
A review of recommender systems based on knowledge graph ...
For Scopus, the following keyword strings were used by the authors: “(”knowledge graph embedding“ OR ”knowledge representation learning“) AND (”recommendation “ ...
An overview of knowledge graph-based recommendation systems
elucidates the rationale behind incorporating knowledge graph embeddings into recommender systems,. setting the stage for the ensuing sections, ...
Graph Embeddings for Web-scale Recommender Systems
personalized search at AirBnB, pin recommendation at Pinterest, ... The objective of this tutorial is to introduce the audience to the task of large-scale graph ...
Unsupervised Graph Embeddings for Session-based ... - Eva Zangerle
We show on three datasets that integrating GCNext into sequential recommendation algorithms significantly boosts the performance of nearest–neighbor methods as ...
Recommending Analogical APIs via Knowledge Graph Embedding
... find an analogical API that could provide the same functionality as current ones. However, given the large number of libraries/APIs ...
Graph Embedding Based Recommendation Techniques on the ...
Abstract. This paper presents a novel, graph embedding based recommendation technique. The method operates on the knowledge graph, an information representation ...
(PDF) Knowledge graph-based recommendation system enhanced ...
In this article, a novel architecture is used with the utilization of pre-trained knowledge graph embeddings of different approaches.
A Knowledge Graph Embedding Based Service Recommendation ...
Web API is an efficient way for Service-based Software (SBS) development, and mashup is a key technology which merges several web services ...
PinSage: A new graph convolutional neural network for web-scale ...
... recommender systems based on graph ... Combined embeddings (Combined): Recommends based on concatenating above visual and annotation embeddings ...
Financial news recommendation based on graph embeddings
We combine NNR and INNR to create a graph embeddings-based financial news recommendation framework that can achieve a good balance between time efficiency and ...
A novel knowledge graph embedding based API recommendation ...
... API graph structure for our search process to address the Mashup-oriented API recommen- dation issue. As discussed in Section 2.1, the existing work can be ...
Summary of Graph Embedding - Analytics & Algorithms - Ultipa
In the graph, the colors of the nodes indicate modularity-based clustering. Once all the nodes have been transformed into two-dimensional vectors, it becomes ...
Understanding Graph Embedding Methods and Their Applications
In this review, we present some fundamental concepts in graph analytics and graph embedding methods, focusing in particular on random walk--based and neural ...