DATASET=cora_ml, MODEL=GCN
Experiment Started
Loading dataset = cora_ml
Found 10 splits, creating 0 more splits
Training GCN model on cora_ml dataset for 10 splits
Mean accuracy: 0.8279841542243958, std: 0.012908768840134144
Experiment Finished
Experiment Started
Loading dataset = cora_ml
Found 10 splits, creating 0 more splits
Training GCN model on cora_ml dataset for 10 splits
Mean accuracy: 0.8302491307258606, std: 0.02494208514690399
Experiment Finished

DATASET=cora_ml, MODEL=GAT
Experiment Started
Loading dataset = cora_ml
Found 10 splits, creating 0 more splits
Training GAT model on cora_ml dataset for 10 splits
Mean accuracy: 0.7802766561508179, std: 0.016848284751176834
Experiment Finished
Experiment Started
Loading dataset = cora_ml
Found 10 splits, creating 0 more splits
Training GAT model on cora_ml dataset for 10 splits
Mean accuracy: 0.7864769101142883, std: 0.02588069438934326
Experiment Finished

DATASET=cora_ml, MODEL=APPNP
Experiment Started
Loading dataset = cora_ml
Found 10 splits, creating 0 more splits
Training APPNP model on cora_ml dataset for 10 splits
Mean accuracy: 0.8436363935470581, std: 0.01427820511162281
Experiment Finished
Experiment Started
Loading dataset = cora_ml
Found 10 splits, creating 0 more splits
Training APPNP model on cora_ml dataset for 10 splits
Mean accuracy: 0.8419928550720215, std: 0.032624825835227966
Experiment Finished


DATASET=cora_ml, MODEL=GPRGNN
Experiment Started
Loading dataset = cora_ml
Found 10 splits, creating 0 more splits
Training GPRGNN model on cora_ml dataset for 10 splits
Mean accuracy: 0.8392489552497864, std: 0.012214016169309616
Experiment Finished
Experiment Started
Loading dataset = cora_ml
Found 10 splits, creating 0 more splits
Training GPRGNN model on cora_ml dataset for 10 splits
Mean accuracy: 0.835587203502655, std: 0.03087870217859745
Experiment Finished

DATASET=cora_ml, MODEL=ChebNetII
Experiment Started
Loading dataset = cora_ml
Found 10 splits, creating 0 more splits
Training ChebNetII model on cora_ml dataset for 10 splits
Mean accuracy: 0.7794861197471619, std: 0.1716056913137436
Experiment Finished
Experiment Started
Loading dataset = cora_ml
Found 10 splits, creating 0 more splits
Training ChebNetII model on cora_ml dataset for 10 splits
Mean accuracy: 0.8508896827697754, std: 0.021837761625647545
Experiment Finished




DATASET=pubmed, MODEL=GCN
Experiment Started
Loading dataset = pubmed
Found 10 splits, creating 0 more splits
Training GCN model on pubmed dataset for 10 splits
Mean accuracy: 0.7919885516166687, std: 0.01759800873696804
Experiment Finished
Experiment Started
Loading dataset = pubmed
Found 10 splits, creating 0 more splits
Training GCN model on pubmed dataset for 10 splits
Mean accuracy: 0.7812784910202026, std: 0.015019141137599945
Experiment Finished
DATASET=pubmed, MODEL=GAT
Experiment Started
Loading dataset = pubmed
Found 10 splits, creating 0 more splits
Training GAT model on pubmed dataset for 10 splits
Mean accuracy: 0.7396591901779175, std: 0.03791183978319168
Experiment Finished
Experiment Started
Loading dataset = pubmed
Found 10 splits, creating 0 more splits
Training GAT model on pubmed dataset for 10 splits
Mean accuracy: 0.7493150234222412, std: 0.030445577576756477
Experiment Finished
DATASET=pubmed, MODEL=APPNP
Experiment Started
Loading dataset = pubmed
Found 10 splits, creating 0 more splits
Training APPNP model on pubmed dataset for 10 splits
Mean accuracy: 0.8007246851921082, std: 0.015009526163339615
Experiment Finished
Experiment Started
Loading dataset = pubmed
Found 10 splits, creating 0 more splits
Training APPNP model on pubmed dataset for 10 splits
Mean accuracy: 0.7872145771980286, std: 0.021240683272480965
Experiment Finished
DATASET=pubmed, MODEL=GPRGNN
Experiment Started
Loading dataset = pubmed
Found 10 splits, creating 0 more splits
Training GPRGNN model on pubmed dataset for 10 splits
Mean accuracy: 0.7619839906692505, std: 0.10250865668058395
Experiment Finished
Experiment Started
Loading dataset = pubmed
Found 10 splits, creating 0 more splits
Training GPRGNN model on pubmed dataset for 10 splits
Mean accuracy: 0.7697614431381226, std: 0.07151982933282852
Experiment Finished
DATASET=pubmed, MODEL=ChebNetII
Experiment Started
Loading dataset = pubmed
Found 10 splits, creating 0 more splits
Training ChebNetII model on pubmed dataset for 10 splits
Mean accuracy: 0.7346328496932983, std: 0.07669480890035629
Experiment Finished
Experiment Started
Loading dataset = pubmed
Found 10 splits, creating 0 more splits
Training ChebNetII model on pubmed dataset for 10 splits
Mean accuracy: 0.7837645411491394, std: 0.02191353030502796
Experiment Finished
DATASET=citeseer, MODEL=GCN
Experiment Started
Loading dataset = citeseer
Found 10 splits, creating 0 more splits
Training GCN model on citeseer dataset for 10 splits
Mean accuracy: 0.9063844680786133, std: 0.011914481408894062
Experiment Finished
Experiment Started
Loading dataset = citeseer
Found 10 splits, creating 0 more splits
Training GCN model on citeseer dataset for 10 splits
Mean accuracy: 0.8928570747375488, std: 0.030480727553367615
Experiment Finished
DATASET=citeseer, MODEL=GAT
Experiment Started
Loading dataset = citeseer
Found 10 splits, creating 0 more splits
Training GAT model on citeseer dataset for 10 splits
Mean accuracy: 0.9002082943916321, std: 0.014164697378873825
Experiment Finished
Experiment Started
Loading dataset = citeseer
Found 10 splits, creating 0 more splits
Training GAT model on citeseer dataset for 10 splits
Mean accuracy: 0.8797618746757507, std: 0.023442944511771202
Experiment Finished
DATASET=citeseer, MODEL=APPNP
Experiment Started
Loading dataset = citeseer
Found 10 splits, creating 0 more splits
Training APPNP model on citeseer dataset for 10 splits
Mean accuracy: 0.9131158590316772, std: 0.012221971526741982
Experiment Finished
Experiment Started
Loading dataset = citeseer
Found 10 splits, creating 0 more splits
Training APPNP model on citeseer dataset for 10 splits
Mean accuracy: 0.9035714268684387, std: 0.021332837641239166
Experiment Finished
DATASET=citeseer, MODEL=GPRGNN
Experiment Started
Loading dataset = citeseer
Found 10 splits, creating 0 more splits
Training GPRGNN model on citeseer dataset for 10 splits
Mean accuracy: 0.9133240580558777, std: 0.010516584850847721
Experiment Finished
Experiment Started
Loading dataset = citeseer
Found 10 splits, creating 0 more splits
Training GPRGNN model on citeseer dataset for 10 splits
Mean accuracy: 0.8940476179122925, std: 0.019195856526494026
Experiment Finished
DATASET=citeseer, MODEL=ChebNetII
Experiment Started
Loading dataset = citeseer
Found 10 splits, creating 0 more splits
Training ChebNetII model on citeseer dataset for 10 splits
Mean accuracy: 0.9035392999649048, std: 0.015298683196306229
Experiment Finished
Experiment Started
Loading dataset = citeseer
Found 10 splits, creating 0 more splits
Training ChebNetII model on citeseer dataset for 10 splits
Mean accuracy: 0.8999999761581421, std: 0.022761328145861626
Experiment Finished
