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DeepCas: An end-to-end predictor of information cascades
Cheng Li
,
Jiaqi Ma
, Xiaoxiao Guo
, Qiaozhu Mei
Research output
:
Chapter in Book/Report/Conference proceeding
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Conference contribution
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Dive into the research topics of 'DeepCas: An end-to-end predictor of information cascades'. Together they form a unique fingerprint.
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Keyphrases
Information Cascades
100%
Network Structure
66%
Global Network
66%
Deep Learning
66%
Node Embedding
66%
Cascade Prediction
66%
Feature-based
33%
Predictive Power
33%
Graph Embedding
33%
Machine Learning Algorithms
33%
Embedding Method
33%
Size Growth
33%
Multiple Data
33%
Kernel Methods
33%
Social Success
33%
Data Mining Tasks
33%
Social Disaster
33%
Individual Representation
33%
Graph Kernel
33%
Cascaded Network
33%
Handcrafted Features
33%
End-to-end Deep Learning
33%
Social Platforms
33%
PRESENT Algorithm
33%
Computer Science
Global Network
100%
Node Embedding
100%
Deep Learning Method
100%
Network Structure
100%
Learning Approach
50%
Predictive Power
50%
Machine Learning Algorithm
50%
Kernel Method
50%
Data Mining Task
50%
Social Network
50%