Tensor Graph Convolutional Networks for Text Classification
Table 5: Analysis of the effectiveness TensorGCN learning. “Merge edges” is our proposed preliminary model which reduce multi-graphs into a single one with an edge-wise attention strategy (details see the section of Graph Tensor Learning). TensorGCN(intra) means TensorGCN without using inter-graph propagation, only intra-graph propagation used.
['[BOLD]  Model', '[BOLD] 20NG', '[BOLD] R8', '[BOLD] R52', '[BOLD] Ohsumed', '[BOLD] MR']
Compared to TensorGCN(intra), TensorGCN has better performance in almost all test datasets. Therefore the inter-graph propagation strategy (used for harmonizing information from different graphs) is very important for graph tensor learning.