Update paper.md

paper.md

@@ -61,7 +61,7 @@ GNN-based methods learn rules from graph data in an end-to-end manner by capturi
 
 Table: \label{tab:statistics} The statistics of eight datasets.
 
-Aside from methods, we also provide eight benchmark datasets to facilitate the research of graph source localization, whose statistics are shown in \autoref{tab:statistics}. Memetracker and Digg provide Seed-Diffusion vector pairs. While others do not have such pairs, they can be generated by information diffusion simulations.
+Aside from methods, we also provide eight benchmark datasets to facilitate the research of graph source localization, whose statistics are shown in \autoref{tab:statistics}. Memetracker and Digg provide seed-diffusion pairs. While others do not have such pairs, they can be generated by information diffusion simulations.
 
 # Availability and Documentation