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المنصة
الرئيسية
SOTA
تصنيف الرسم البياني
Graph Classification On Mutag
Graph Classification On Mutag
المقاييس
Accuracy
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
Columns
اسم النموذج
Accuracy
Paper Title
Evolution of Graph Classifiers
100.00%
Evolution of Graph Classifiers
MEWISPool
96.66%
Maximum Entropy Weighted Independent Set Pooling for Graph Neural Networks
TFGW ADJ (L=2)
96.4%
Template based Graph Neural Network with Optimal Transport Distances
GIUNet
95.7%
Graph isomorphism UNet
G_Inception
95.00%
When Work Matters: Transforming Classical Network Structures to Graph CNN
GIC
94.44%
Gaussian-Induced Convolution for Graphs
CIN++
94.4%
CIN++: Enhancing Topological Message Passing
sGIN
94.14%
Mutual Information Maximization in Graph Neural Networks
CAN
94.1%
Cell Attention Networks
Deep WL SGN(0,1,2)
93.68%
Subgraph Networks with Application to Structural Feature Space Expansion
QS-CNNs (Quantum Walk)
93.13%
Quantum-based subgraph convolutional neural networks
PATCHY-SAN
92.63%
Learning Convolutional Neural Networks for Graphs
DDGK
91.58%
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels
Graph-JEPA
91.25%
Graph-level Representation Learning with Joint-Embedding Predictive Architectures
GraphStar
91.2%
Graph Star Net for Generalized Multi-Task Learning
TREE-G
91.1%
TREE-G: Decision Trees Contesting Graph Neural Networks
SEG-BERT
90.85%
Segmented Graph-Bert for Graph Instance Modeling
GFN
90.84%
Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification
PPGN
90.55%
Provably Powerful Graph Networks
GAT-GC (f-Scaled)
90.44%
Improving Attention Mechanism in Graph Neural Networks via Cardinality Preservation
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