CKGCN
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CKGConv: General Graph Convolution with Continuou…
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98.42
|
2024-04-21
|
|
EIGENFORMER
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Graph Transformers without Positional Encodings
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98.36
|
2024-01-31
|
|
EGT
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Global Self-Attention as a Replacement for Graph …
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98.17
|
2021-08-07
|
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GRIT
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Graph Inductive Biases in Transformers without Me…
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98.11
|
2023-05-27
|
|
GPS
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Recipe for a General, Powerful, Scalable Graph Tr…
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98.05
|
2022-05-25
|
|
GatedGCN
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Benchmarking Graph Neural Networks
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97.34
|
2020-03-02
|
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ESA (Edge set attention, no positional encodings, tuned)
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An end-to-end attention-based approach for learni…
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2024-02-16
|
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NeuralWalker
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Learning Long Range Dependencies on Graphs via Ra…
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2024-06-05
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ESA (Edge set attention, no positional encodings)
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An end-to-end attention-based approach for learni…
|
|
2024-02-16
|
|
GatedGCN+
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Unlocking the Potential of Classic GNNs for Graph…
|
|
2025-02-13
|
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Exphormer
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Exphormer: Sparse Transformers for Graphs
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|
2023-03-10
|
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GCN+
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Unlocking the Potential of Classic GNNs for Graph…
|
|
2025-02-13
|
|
TIGT
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Topology-Informed Graph Transformer
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|
2024-02-03
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