change default batch size to 1

run_DGCNN.sh

@@ -13,7 +13,7 @@ CONV_SIZE="32-32-32-1"
 sortpooling_k=0.6  # If k <= 1, then k is set to an integer so that k% of graphs have nodes less than this integer
 FP_LEN=0  # final dense layer's input dimension, decided by data
 n_hidden=128  # final dense layer's hidden size
-bsize=50  # batch size
+bsize=1  # batch size, set to 50 or 100 to accelerate training
 dropout=True
 
 # dataset-specific settings