An overview of microsoft academic service (mas) and applications
In this paper we describe a new release of a Web scale entity graph that serves as the
backbone of Microsoft Academic Service (MAS), a major production effort with a broadened …
backbone of Microsoft Academic Service (MAS), a major production effort with a broadened …
[HTML][HTML] A survey on heterogeneous information network based recommender systems: Concepts, methods, applications and resources
As an important way to alleviate information overload, a recommender system aims to filter
out irrelevant information for users and provides them items that they may be interested in. In …
out irrelevant information for users and provides them items that they may be interested in. In …
[LIVRE][B] Pretrained transformers for text ranking: Bert and beyond
The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in
response to a query. Although the most common formulation of text ranking is search …
response to a query. Although the most common formulation of text ranking is search …
Heterogeneous graph neural network
Representation learning in heterogeneous graphs aims to pursue a meaningful vector
representation for each node so as to facilitate downstream applications such as link …
representation for each node so as to facilitate downstream applications such as link …
A survey of heterogeneous information network analysis
Most real systems consist of a large number of interacting, multi-typed components, while
most contemporary researches model them as homogeneous information networks, without …
most contemporary researches model them as homogeneous information networks, without …
Heterogeneous network embedding via deep architectures
Data embedding is used in many machine learning applications to create low-dimensional
feature representations, which preserves the structure of data points in their original space …
feature representations, which preserves the structure of data points in their original space …
Content-based citation recommendation
We present a content-based method for recommending citations in an academic paper draft.
We embed a given query document into a vector space, then use its nearest neighbors as …
We embed a given query document into a vector space, then use its nearest neighbors as …
Academic influence aware and multidimensional network analysis for research collaboration navigation based on scholarly big data
Scholarly big data, which is a large-scale collection of academic information, technical data,
and collaboration relationships, has attracted increasing attentions, ranging from industries …
and collaboration relationships, has attracted increasing attentions, ranging from industries …
Citation recommendation: approaches and datasets
Citation recommendation describes the task of recommending citations for a given text. Due
to the overload of published scientific works in recent years on the one hand, and the need …
to the overload of published scientific works in recent years on the one hand, and the need …
A neural probabilistic model for context based citation recommendation
Automatic citation recommendation can be very useful for authoring a paper and is an AI-
complete problem due to the challenge of bridging the semantic gap between citation …
complete problem due to the challenge of bridging the semantic gap between citation …