Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?
Juanhui LiHarry ShomerJiayuan DingYiqi WangYao MaNeil ShahJiliang TangDawei YinPublished in: ACL (1) (2023)
Keyphrases
- message passing
- neural network
- belief propagation
- distributed systems
- approximate inference
- inference in graphical models
- probabilistic inference
- shared memory
- factor graphs
- sum product algorithm
- prior knowledge
- markov random field
- singly connected
- graphical models
- higher order
- knowledge representation
- junction tree
- message passing interface
- sum product
- distributed shared memory