Graph inductive biases in transformers without message passing
<p>Transformers for graph data are increasingly widely studied and successful in numerous learning tasks. Graph inductive biases are crucial for Graph Transformers, and previous works incorporate them using message-passing modules and/or positional encodings. However, Graph Transformers that u...
| Main Authors: | , , , , , , , |
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| Format: | Internet publication |
| Language: | English |
| Published: |
2023
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