OpenCodePapers
node-classification-on-facebook
Node Classification
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Paper
Code
Accuracy
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ModelName
ReleaseDate
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Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification
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95.53±0.35
GNNMoE(GCN-like P)
2024-12-11
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification
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95.21±0.25
GNNMoE(GAT-like P)
2024-12-11
Mixture of Experts Meets Decoupled Message Passing: Towards General and Adaptive Node Classification
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94.63±0.36
GNNMoE(SAGE-like P)
2024-12-11
DEMO-Net: Degree-specific Graph Neural Networks for Node and Graph Classification
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91.9
DEMO-Net(weight)
2019-06-05
Semi-Supervised Classification with Graph Convolutional Networks
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64.6
GCN_cheby (Kipf and Welling, 2017)
2016-09-09
Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning
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59.8
Intersection (Li et al., 2018)
2018-01-22
Semi-Supervised Classification with Graph Convolutional Networks
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57.5
GCN (Kipf and Welling, 2017)
2016-09-09
Inductive Representation Learning on Large Graphs
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38.9
GraphSAGE (Hamilton et al., [2017a])
2017-06-07