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Models/Text GCN

Text GCN

Reported on 9 benchmarks across 3 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing5 results

Text ClassificationonR52
Accuracy· 2018-09-15
93.56
best: 96.6 (1-6 BertGCN)
SOTA
Graph Convolutional Networks for Text Classification arXiv:1809.05679
Text ClassificationonOhsumed
Accuracy· 2018-09-15
68.36
best: 72.8 (RoBERTaGCN)
SOTA
Graph Convolutional Networks for Text Classification arXiv:1809.05679
Text ClassificationonR8
Accuracy· 2018-09-15
97.07
best: 98.451 (DeBERTa)
SOTA
Graph Convolutional Networks for Text Classification arXiv:1809.05679
Sentiment AnalysisonMR
Accuracy· 2018-09-15
76.74
best: 93.3 (VLAWE)
Graph Convolutional Networks for Text Classification arXiv:1809.05679
Text Classificationon20NEWS
Accuracy· uses extra data· 2018-09-15
86.34
best: 93 (LinearSVM+TFIDF)
Graph Convolutional Networks for Text Classification arXiv:1809.05679

Methodology4 results

ClassificationonR52
Accuracy· 2018-09-15
93.56
best: 96.6 (1-6 BertGCN)
SOTA
Graph Convolutional Networks for Text Classification arXiv:1809.05679
ClassificationonOhsumed
Accuracy· 2018-09-15
68.36
best: 72.8 (RoBERTaGCN)
SOTA
Graph Convolutional Networks for Text Classification arXiv:1809.05679
ClassificationonR8
Accuracy· 2018-09-15
97.07
best: 98.451 (DeBERTa)
SOTA
Graph Convolutional Networks for Text Classification arXiv:1809.05679
Classificationon20NEWS
Accuracy· uses extra data· 2018-09-15
86.34
best: 93 (LinearSVM+TFIDF)
Graph Convolutional Networks for Text Classification arXiv:1809.05679