activity
20192022
most citedGraph Learning: A Survey

472 citations · 776 across the 24 of their papers we have counts for

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Showing 2020Show all

12 papers · 1 filter

cs.SI2020

OFFER: A Motif Dimensional Framework for Network Representation Learning

Shuo Yu, Feng Xia, Jin Xu +2

Aiming at better representing multivariate relationships, this paper investigates a motif dimensional framework for higher-order graph learning. The graph learning effectiveness ca…

cs.LG2020★ 10 cited

Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining

Jiaying Liu, Feng Xia, Lei Wang +4

The advisor-advisee relationship represents direct knowledge heritage, and such relationship may not be readily available from academic libraries and search engines. This work aims…

cs.IR2020

Scientific Paper Recommendation: A Survey

Xiaomei Bai, Mengyang Wang, Ivan Lee +3

Globally, recommendation services have become important due to the fact that they support e-commerce applications and different research communities. Recommender systems have a lar…

cs.SI2020★ 76 cited

Data-driven Computational Social Science: A Survey

Jun Zhang, Wei Wang, Feng Xia +2

Social science concerns issues on individuals, relationships, and the whole society. The complexity of research topics in social science makes it the amalgamation of multiple disci…

cs.DL2020★ 4 cited

Quantifying Success in Science: An Overview

Xiaomei Bai, Hanxiao Pan, Jie Hou +3

Quantifying success in science plays a key role in guiding funding allocations, recruitment decisions, and rewards. Recently, a significant amount of progresses have been made towa…

cs.DL2020

An Overview on Evaluating and Predicting Scholarly Article Impact

Xiaomei Bai, Hui Liu, Fuli Zhang +4

Scholarly article impact reflects the significance of academic output recognised by academic peers, and it often plays a crucial role in assessing the scientific achievements of re…

cs.DL2020

Quantifying the Impact of Scholarly Papers Based on Higher-Order Weighted Citations

Xiaomei Bai, Fuli Zhang, Jie Hou +4

Quantifying the impact of a scholarly paper is of great significance, yet the effect of geographical distance of cited papers has not been explored. In this paper, we examine 30,59…

cs.DL2020

The Role of Positive and Negative Citations in Scientific Evaluation

Xiaomei Bai, Ivan Lee, Zhaolong Ning +2

Quantifying the impact of scientific papers objectively is crucial for research output assessment, which subsequently affects institution and country rankings, research funding all…

cs.SI2020★ 1 cited

DINE: A Framework for Deep Incomplete Network Embedding

Ke Hou, Jiaying Liu, Yin Peng +3

Network representation learning (NRL) plays a vital role in a variety of tasks such as node classification and link prediction. It aims to learn low-dimensional vector representati…

cs.SI2020★ 25 cited

Prediction Methods and Applications in the Science of Science: A Survey

Jie Hou, Hanxiao Pan, Teng Guo +3

Science of science has become a popular topic that attracts great attentions from the research community. The development of data analytics technologies and the readily available s…

cs.SI2020★ 60 cited

Big Networks: A Survey

Hayat Dino Bedru, Shuo Yu, Xinru Xiao +4

A network is a typical expressive form of representing complex systems in terms of vertices and links, in which the pattern of interactions amongst components of the network is int…

cs.SI2020★ 65 cited

MODEL: Motif-based Deep Feature Learning for Link Prediction

Lei Wang, Jing Ren, Bo Xu +3

Link prediction plays an important role in network analysis and applications. Recently, approaches for link prediction have evolved from traditional similarity-based algorithms int…