Novel Frameworks for Mining Heterogeneous and Dynamic Networks

Novel Frameworks for Mining Heterogeneous and Dynamic Networks

Bibliographic Details
Main Author:	Fang, Chunsheng
Language:	English
Published:	University of Cincinnati / OhioLINK 2011
Subjects:	Computer Science machine learning social network data mining manifold learning graph embedding dynamic graph
Online Access:	http://rave.ohiolink.edu/etdc/view?acc_num=ucin1321369978

Similar Items

Dynamics-Preserving Graph Embedding for Community Mining and Network Immunization
by: Jianan Zhong, et al.
Published: (2020-05-01)

A Semantic Aware Meta-Path Model for Heterogeneous Network Representation Learning
by: Yiping Yang, et al.
Published: (2020-01-01)

Towards Machine Learning Enabled Automatic Design of IT-Network Architectures
by: Wåhlin, Lova
Published: (2019)

Discriminative Auto-Encoder With Local and Global Graph Embedding
by: Rui Li, et al.
Published: (2020-01-01)

Learning Combinatorial Optimization on Graphs: A Survey With Applications to Networking
by: Natalia Vesselinova, et al.
Published: (2020-01-01)

Unsupervised network embeddings with node identity awareness
by: Leonardo Gutiérrez-Gómez, et al.
Published: (2019-10-01)

Human-in-the-loop Machine Learning: Algorithms and Applications
by: Liang, Jiongqian
Published: (2018)

GraphKKE: graph Kernel Koopman embedding for human microbiome analysis
by: Kateryna Melnyk, et al.
Published: (2020-12-01)

A general deep learning framework for network reconstruction and dynamics learning
by: Zhang Zhang, et al.
Published: (2019-11-01)

Proximity-Based Compression for Network Embedding
by: Muhammad Ifte Islam, et al.
Published: (2021-01-01)

Gemma: Reinforcement Learning-Based Graph Embedding and Mapping for Virtual Network Applications
by: Minjae Park, et al.
Published: (2021-01-01)

Survey on graph embeddings and their applications to machine learning problems on graphs
by: Ilya Makarov, et al.
Published: (2021-02-01)

SURREAL: Subgraph Robust Representation Learning
by: Saba A. Al-Sayouri, et al.
Published: (2019-10-01)

Heterogeneous Graph Based Neural Network for Social Recommendations with Balanced Random Walk Initialization
by: Salamat, Amirreza
Published: (2021)

Corrigendum: FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques
by: Mohamed Gharibi, et al.
Published: (2020-06-01)

FoodKG: A Tool to Enrich Knowledge Graphs Using Machine Learning Techniques
by: Mohamed Gharibi, et al.
Published: (2020-04-01)

Evolving network representation learning based on random walks
by: Farzaneh Heidari, et al.
Published: (2020-03-01)

Learning predictive models from graph data using pattern mining
by: Karunaratne, Thashmee M.
Published: (2014)

Knowledge Graph Representation Learning: Approaches and Applications in Biomedicine
by: AlShahrani, Mona
Published: (2019)

FairDrop: Biased Edge Dropout for Enhancing Fairness in Graph Representation Learning
by: Hussain, A., et al.
Published: (2022)

Constructing knowledge graphs and their biomedical applications
by: David N. Nicholson, et al.
Published: (2020-01-01)

SR-HGAT: Symmetric Relations Based Heterogeneous Graph Attention Network
by: Zhenghao Zhang, et al.
Published: (2020-01-01)

Domain-based Frameworks and Embeddings for Dynamics over Networks
by: Adhikari, Bijaya
Published: (2021)

DTI-HeNE: a novel method for drug-target interaction prediction based on heterogeneous network embedding
by: Yang Yue, et al.
Published: (2021-09-01)

A Framework for the Static and Dynamic Analysis of Interaction Graphs
by: Asur, Sitaram
Published: (2009)

Exploring the Semantic Content of Unsupervised Graph Embeddings: An Empirical Study
by: Stephen Bonner, et al.
Published: (2019-06-01)

Bridging the Gap of AutoGraph Between Academia and Industry: Analyzing AutoGraph Challenge at KDD Cup 2020
by: Guyon, I., et al.
Published: (2022)

A Comprehensive Survey on Geometric Deep Learning
by: Wenming Cao, et al.
Published: (2020-01-01)

Construction and Analysis of Molecular Association Network by Combining Behavior Representation and Node Attributes
by: Hai-Cheng Yi, et al.
Published: (2019-11-01)

Neighbors-Based Graph Construction for Dimensionality Reduction
by: Hui Tian, et al.
Published: (2019-01-01)

Feature Extraction Based Multi-Structure Manifold Embedding for Hyperspectral Remote Sensing Image Classification
by: Yuhang Gan, et al.
Published: (2017-01-01)

edge2vec: Representation learning using edge semantics for biomedical knowledge discovery
by: Zheng Gao, et al.
Published: (2019-06-01)

Outlier Detection with Applications in Graph Data Mining
by: Ranga Suri, N N R
Published: (2018)

Deep GCNs with Random Partition and Generalized Aggregator
by: Xiong, Chenxin
Published: (2020)

Graph Attention Networks With Local Structure Awareness for Knowledge Graph Completion
by: Kexi Ji, et al.
Published: (2020-01-01)

RAGAT: Relation Aware Graph Attention Network for Knowledge Graph Completion
by: Xiyang Liu, et al.
Published: (2021-01-01)

Generalized regular genus for manifolds with boundary
by: Paola Cristofori
Published: (2003-05-01)

Social Network Analysis and Churn Prediction in Telecommunications Using Graph Theory
by: Stefan M. Kostić, et al.
Published: (2020-07-01)

A survey of information network representation learning
by: Junhao LU, et al.
Published: (2020-04-01)

Stacked Denoising Extreme Learning Machine Autoencoder Based on Graph Embedding for Feature Representation
by: Hongwei Ge, et al.
Published: (2019-01-01)