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@@ -648,7 +648,7 @@ $c _ { v , S } ^ { 0 } \bar { c }$ $\iota ( v )$
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  Proposition 6. Let $G ^ { 1 } , G ^ { 2 }$ be any pair
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  of finite graphs. There exists $\bar { t } < \infty$ such that the DSS-WL (DS-WL) test converges when run on ${ \dot { G } } ^ { 1 } , G ^ { 2 }$ with any subgraph selection policy $\pi$ .
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- Proof. Let $\mathcal { G } ^ { 1 } , \mathcal { G } ^ { 2 }$ be the bags induced by $\pi$ on $G ^ { 1 } , G ^ { 2 }$ . The two tests converge when, on all subgraph, the node partitioning induced by the coloring does not vary across two consecutive steps. Due to Proposition 5, we know that their colorings are vertex refinements on each of the subgraphs. This implies that, at iteration $t + 1$ , the partitioning on a subgraph is either as fine as, or finer than the one at iteration $t$ . In other words, if $N _ { t , S }$ is the number of color classes at round $t$ on subgraph $S$ , we have that $N _ { t + 1 , S } \ \geq \ N _ { t , S }$ . At the same time, the value $N _ { t , S } , \forall t \geq 0$ is upper bounded by $N _ { S } < \infty$ , i.e. the cardinality of the vertex set of $S$ . This implies that the number of possible iterations before convergence must be upper-bounded by the value $\nu = \mathrm { m a x } _ { i }$ $\scriptstyle \sum _ { S \in { \mathcal { G } } ^ { i } } N _ { S } )$ , which is, itself, finite. □
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  The concept of vertex color refinement is linked to the ability to distinguish between non-isomorphic graphs. This is a consequence of the following Lemma, whose proof is adapted from Bodnar et al. (2021b).
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  Proposition 6. Let $G ^ { 1 } , G ^ { 2 }$ be any pair
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  of finite graphs. There exists $\bar { t } < \infty$ such that the DSS-WL (DS-WL) test converges when run on ${ \dot { G } } ^ { 1 } , G ^ { 2 }$ with any subgraph selection policy $\pi$ .
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+ Proof. Let $\mathcal { G } ^ { 1 } , \mathcal { G } ^ { 2 }$ be the bags induced by $\pi$ on $G ^ { 1 } , G ^ { 2 }$ . The two tests converge when, on all subgraph, the node partitioning induced by the coloring does not vary across two consecutive steps. Due to Proposition 5, we know that their colorings are vertex refinements on each of the subgraphs. This implies that, at iteration $t + 1$ , the partitioning on a subgraph is either as fine as, or finer than the one at iteration $t$ . In other words, if $N _ { t , S }$ is the number of color classes at round $t$ on subgraph $S$ , we have that $N _ { t + 1 , S } \ \geq \ N _ { t , S }$ . At the same time, the value $N _ { t , S } , \forall t \geq 0$ is upper bounded by $N _ { S } < \infty$ , i.e. the cardinality of the vertex set of $S$ . This implies that the number of possible iterations before convergence must be upper-bounded by the value $\nu = \mathrm { m a x } _ { i }$ $\scriptstyle \sum _ { S \in { \mathcal { G } } ^ { i } } N _ { S } )$ , which is, itself, finite. □
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  The concept of vertex color refinement is linked to the ability to distinguish between non-isomorphic graphs. This is a consequence of the following Lemma, whose proof is adapted from Bodnar et al. (2021b).
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