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Node Classification on WikiCS inductive (test)

37.81AccuracyADAR
1.243610.736820.2329.7232Jun 21, 2026

Evaluation results

MethodLinks
ADARTrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.0637.81
OFATrainable Params=100%, Total Params=5.1M, Evaluation Setting=Zero-shot Inductive2026.0636.89
UNIGTETrainable Params=0.54%, Total Params=13.7B, Evaluation Setting=Zero-shot Inductive2026.0634.91
GATTrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.0631.33
GRAPHSAGETrainable Params=100%, Total Params=0.6M, Evaluation Setting=Zero-shot Inductive2026.0630.44
VICUNA-7BTrainable Params=-, Total Params=6.7B, Evaluation Setting=Zero-shot Inductive2026.0629.31
GCNTrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.0627.21
MDGFMTrainable Params=100%, Total Params=0.4M†, Evaluation Setting=Zero-shot Inductive2026.0622.87
N2Trainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.0622.39
GCNIITrainable Params=100%, Total Params=0.5M, Evaluation Setting=Zero-shot Inductive2026.0611.57
DGITrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.068.26
GRACETrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.067.26
GFTTrainable Params=100%, Total Params=0.4M†, Evaluation Setting=Zero-shot Inductive2026.066.77
RIEMANNGFMTrainable Params=100%, Total Params=0.4M, Evaluation Setting=Zero-shot Inductive2026.064.26
LLAGATrainable Params=0.02%, Total Params=6.7B, Evaluation Setting=Zero-shot Inductive2026.062.65