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Learning Graph Neural Networks with Deep Graph Library
Da Zheng
, Minjie Wang
, Quan Gan
, Zheng Zhang
,
George Karypis
Computer Science and Engineering
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
19
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Scopus citations
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Dive into the research topics of 'Learning Graph Neural Networks with Deep Graph Library'. Together they form a unique fingerprint.
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Keyphrases
Learning on Graphs
100%
Graph Neural Network
100%
Deep Graph Library
100%
Relational Data
22%
Fraud Detection
22%
Link Prediction
22%
Graph Structure
22%
Biological Sciences
11%
Social Network Analysis
11%
Neural Network
11%
Electronic Commerce
11%
Software Framework
11%
Binding Activity
11%
Medical Sciences
11%
Information Retrieval
11%
Ligand Binding
11%
Neural Network Model
11%
Large Graphs
11%
Real-world Application
11%
Targeting Ligands
11%
Supervised Learning
11%
Graph Products
11%
Learning Framework
11%
Node-Link
11%
Art Performance
11%
Model Driven Architecture
11%
Classification Prediction
11%
Knowledge Modeling
11%
Distributed Settings
11%
Product Recommendation
11%
Node Classification
11%
Graph Applications
11%
Activity Prediction
11%
Deep Representation Learning
11%
Knowledge Graph Completion
11%
Basic Graph
11%
Hands-on Sessions
11%
Computer Science
Graph Neural Network
100%
Relational Data
22%
Link Prediction
22%
Fraud Detection
22%
Social Network Analysis
11%
Software Frameworks
11%
Neural Network Model
11%
Supervised Learning
11%
Learning Framework
11%
World Application
11%
Art Performance
11%
Application Problem
11%
Application Graph
11%
e-Commerce Marketing
11%
Model Architecture
11%
Node Classification
11%
Engineering Science
11%
Deep Representation Learning
11%
Information Retrieval
11%
Knowledge Graph
11%