Text Classification on R52 (test)
96.6AccuracyBertGCN
Evaluation Results
| Method | Links | |
|---|---|---|
| BertGCNBackbone=BERT-base2021.05 | 96.6 | |
| BertGATBackbone=BERT-base2021.05 | 96.5 | |
| BERTModel variant=BERT-base2021.05 | 96.4 | |
| TextGSL2025.12 | 96.26 | |
| RoBERTa2021.05 | 96.2 | |
| ROBERTAGCNBackbone=RoBERTa2021.05 | 96.1 | |
| ROBERTAGATBackbone=RoBERTa2021.05 | 96.1 | |
| LDGCN2025.12 | 95.71 | |
| TextSSL2025.12 | 95.48 | |
| TextING2025.12 | 95.41 | |
| TensorGCN2025.12 | 95.05 | |
| HyperGAT2025.12 | 94.98 | |
| UGformerModel Variant=Variant 2, GNN layer usage=with GNN2019.09 | 94.71 | |
| S2GC2021.05 | 94.5 | |
| CGA2TC2025.12 | 94.47 | |
| GTG2025.12 | 94.46 | |
| TextQGNN2019.09 | 94.45 | |
| SGC2021.05 | 94 | |
| DHTG2025.12 | 93.93 | |
| UGformer (w/o GNN)Model Variant=Variant 2, GNN layer usage=without GNN2019.09 | 93.85 | |
| TextGCN2021.05 | 93.6 | |
| TextGCN2019.09 | 93.56 | |
| TextGCN2025.12 | 93.56 | |
| TextING2019.09 | 93.34 | |
| fastText2019.09 | 92.81 | |
| Drop Clause Tsetlin Machinemode=DC (Drop Clause)2021.05 | 92.75 | |
| BiLSTM2021.05 | 90.54 | |
| Bi-LSTM2019.09 | 90.54 | |
| BERT2021.05 | 89.66 | |
| CNN2021.05 | 87.59 |