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Node Classification On Pattern

评估指标

Accuracy

评测结果

各个模型在此基准测试上的表现结果

模型名称
Accuracy
Paper TitleRepository
Exphormer86.74Exphormer: Sparse Transformers for Graphs-
NeuralWalker86.977 ± 0.012Learning Long Range Dependencies on Graphs via Random Walks-
GRIT87.196Graph Inductive Biases in Transformers without Message Passing-
EIGENFORMER86.738Graph Transformers without Positional Encodings-
GPTrans-Nano86.734±0.008Graph Propagation Transformer for Graph Representation Learning-
GatedGCN+87.029 ± 0.037Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence-
GatedGCN86.508Benchmarking Graph Neural Networks-
EGT86.821Global Self-Attention as a Replacement for Graph Convolution-
CKGCN88.661CKGConv: General Graph Convolution with Continuous Kernels-
TIGT86.680Topology-Informed Graph Transformer-
GPS86.685Recipe for a General, Powerful, Scalable Graph Transformer-
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