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EFFICIENT PROBABILISTIC LOGIC REASONING WITH GRAPH NEURAL NETWORKS
Yuyu Zhang
, Xinshi Chen
, Yuan Yang
, Arun Ramamurthy
,
Bo Li
, Yuan Qi
, Le Song
Siebel School of Computing and Data Science
Research output
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Contribution to conference
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Paper
›
peer-review
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Dive into the research topics of 'EFFICIENT PROBABILISTIC LOGIC REASONING WITH GRAPH NEURAL NETWORKS'. Together they form a unique fingerprint.
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Keyphrases
Logical Reasoning
100%
Probabilistic Logic
100%
Graph Neural Network
100%
Markov Logic Networks
83%
Graph Problems
33%
Logic Rules
33%
Effective Tool
16%
Variational Inference
16%
Computationally Intensive
16%
Benchmark Dataset
16%
Large Graphs
16%
Probabilistic Graphical Models
16%
Representational Power
16%
Knowledge Graph
16%
Industrial Scale Application
16%
Logical Diagrams
16%
Computer Science
Graph Neural Network
100%
Labeled Example
16%
Knowledge Graph
16%
Probabilistic Graphical Model
16%