The pdf contains some notes on several papers, some of which only have 1-2 slide pages. Again, red fonts are my thoughts and insights. I wish my notes can help readers to better understand the new concepts and get inspired.
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A list of papers covered:
- BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
- KG-BERT: BERT for Knowledge Graph Completion
- GRAPH TRANSFORMER
- Text Generation from Knowledge Graphs wit
- Automatic Labelling of Topics with Neural Embeddings
- RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
- Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks
- A comprehensive survey on graph neural networks
- And More…
IreneLi 