HyperAIHyperAI超神经
首页资讯最新论文教程数据集百科SOTALLM 模型天梯GPU 天梯顶会
全站搜索
关于
中文
HyperAIHyperAI超神经
  1. 首页
  2. SOTA
  3. 节点分类
  4. Node Classification On Cluster

Node Classification On Cluster

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
GatedGCN-PE76.08Benchmarking Graph Neural Networks-
Exphormer78.22±0.045Exphormer: Sparse Transformers for Graphs-
GRIT80.026Graph Inductive Biases in Transformers without Message Passing-
ARGNP77.35Automatic Relation-aware Graph Network Proliferation-
EIGENFORMER77.456Graph Transformers without Positional Encodings-
GatedGCN+79.128 ± 0.235Can Classic GNNs Be Strong Baselines for Graph-level Tasks? Simple Architectures Meet Excellence-
GPS77.95Recipe for a General, Powerful, Scalable Graph Transformer-
GPTrans-Nano78.07Graph Propagation Transformer for Graph Representation Learning-
EGT79.232Global Self-Attention as a Replacement for Graph Convolution-
TIGT78.033Topology-Informed Graph Transformer-
CKGCN79.003CKGConv: General Graph Convolution with Continuous Kernels-
NeuralWalker78.189 ± 0.188Learning Long Range Dependencies on Graphs via Random Walks-
0 of 12 row(s) selected.
HyperAI

学习、理解、实践,与社区一起构建人工智能的未来

中文

关于

关于我们数据集帮助

产品

资讯教程数据集百科

链接

TVM 中文Apache TVMOpenBayes

© HyperAI超神经

津ICP备17010941号-1京公网安备11010502038810号京公网安备11010502038810号
TwitterBilibili