CKGCN
|
CKGConv: General Graph Convolution with Continuou…
|
88.66
|
2024-04-21
|
|
GRIT
|
Graph Inductive Biases in Transformers without Me…
|
87.20
|
2023-05-27
|
|
EGT
|
Global Self-Attention as a Replacement for Graph …
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86.82
|
2021-08-07
|
|
Exphormer
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Exphormer: Sparse Transformers for Graphs
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86.74
|
2023-03-10
|
|
EIGENFORMER
|
Graph Transformers without Positional Encodings
|
86.74
|
2024-01-31
|
|
GPS
|
Recipe for a General, Powerful, Scalable Graph Tr…
|
86.69
|
2022-05-25
|
|
TIGT
|
Topology-Informed Graph Transformer
|
86.68
|
2024-02-03
|
|
GatedGCN
|
Benchmarking Graph Neural Networks
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86.51
|
2020-03-02
|
|
GatedGCN+
|
Unlocking the Potential of Classic GNNs for Graph…
|
|
2025-02-13
|
|
NeuralWalker
|
Learning Long Range Dependencies on Graphs via Ra…
|
|
2024-06-05
|
|
GPTrans-Nano
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Graph Propagation Transformer for Graph Represent…
|
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2023-05-19
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