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...

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Bibliographic Details
Main Authors:	Ma, L, Lin, C, Lim, D, Romero-Soriano, A, Dokania, PK, Coates, M, Torr, PHS, Lim, S-N
Format:	Internet publication
Language:	English
Published:	2023

Graph inductive biases in transformers without message passing by Ma, L, Lin, C, Lim, D, Romero-Soriano, A, Dokania, PK, Coates, M, Torr, PHS, Lim, S-N

Published 2023

Conference item

Graph inductive biases in transformers without message passing

Graph inductive biases in transformers without message passing by Ma, L, Lin, C, Lim, D, Romero-Soriano, A, Dokania, PK, Coates, M, Torr, PHS, Lim, S-N

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