center tables (#42)

Author: pjhartout

README.md

@@ -17,6 +17,7 @@ PolyGraph is a Python library for evaluating graph generative models by providin
 
 PolyGraph discrepancy is a new metric we introduced, which provides the following advantages over maxmimum mean discrepancy (MMD):
 
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@@ -53,6 +54,7 @@ PolyGraph discrepancy is a new metric we introduced, which provides the followin
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 It also provides a number of other advantages over MMD which we discuss in our paper.
 
@@ -176,6 +178,7 @@ for metric in tqdm(metrics):
 
 The following results mirror the tables from our paper. Bold indicates best, and underlined indicates second-best. Values are multiplied by 100 for legibility. Standard deviations are obtained with subsampling using `StandardPGDInterval` and `MoleculePGDInterval`. Specific parameters are discussed in the paper.
 
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@@ -236,5 +239,6 @@ The following results mirror the tables from our paper. Bold indicates best, and
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 <sub>* AutoGraph* denotes a variant that leverages additional training heuristics as described in the paper.</sub>