Search Results for author:
Found 8 papers, 0 papers with code
The Gene of Scientific Success
Under this consideration, our paper presents and analyzes the causal factors that are crucial for scholars' academic success.
Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework
To reduce this research gap and learn human mobility knowledge from this fixed travel behaviors, we propose a multi-pattern passenger flow prediction framework, MPGCN, based on Graph Convolutional Network (GCN).
CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs
In each non-output layer of the GCN, this framework uses a hub attention mechanism to assign new weights to connected non-hub vertices based on their common information with hub vertices.
Matching Algorithms: Fundamentals, Applications and Challenges
Based on the preference list access, matching problems are divided into two categories, i. e., explicit matching and implicit matching.
Information Retrieval
Recommendation Systems
Social and Information Networks
Understanding the Advisor-advisee Relationship via Scholarly Data Analysis
Advisor-advisee relationship is important in academic networks due to its universality and necessity.
Shifu2: A Network Representation Learning Based Model for Advisor-advisee Relationship Mining
The advisor-advisee relationship represents direct knowledge heritage, and such relationship may not be readily available from academic libraries and search engines.
Scientific Paper Recommendation: A Survey
The problem of recommending similar scientific articles in scientific community is called scientific paper recommendation.
Random Walks: A Review of Algorithms and Applications
In this paper, we aim to provide a comprehensive review of classical random walks and quantum walks.
