Dear Bioconductor community,

I am trying to change the node text (something like geom_node_text) with the emapplot function of the enrichplot package.

This is what I have unsuccessfully tried from an enrichResult object that is fine:

> ggoBP@result %>% names()
[1] "ID"          "Description" "GeneRatio"   "BgRatio"     "pvalue"     
[6] "p.adjust"    "qvalue"      "geneID"      "Count"      

> p <- emapplot(ggoBP, layout = "kk", line_scale = 0.2)
> p + geom_node_label(size = 9, repel = T)

Error: geom_label_repel requires the following missing aesthetics: label

Any suggestion would be welcome!

    > sessionInfo()
    R version 4.0.2 (2020-06-22)
    Platform: x86_64-apple-darwin17.0 (64-bit)
    Running under: macOS Mojave 10.14.6
    other attached packages:
     [1] ggraph_2.0.3                circlize_0.4.10            
     [3] DOSE_3.14.0                 msigdbr_7.1.1              
     [5] ggcorrplot_0.1.3            plyr_1.8.6                 
     [7] tidyr_1.1.1                 ReactomePA_1.32.0          
     [9] dplyr_1.0.1                 ComplexHeatmap_2.4.3       
    [11] stringr_1.4.0               colorRamps_2.3             
    [13] VennDiagram_1.6.20          futile.logger_1.4.3        
    [15] clusterProfiler_3.16.0      reactome.db_1.70.0         
    [17] org.Mm.eg.db_3.11.4         AnnotationDbi_1.50.3       
    [19] ggrepel_0.8.2               gageData_2.26.0            
    [21] pathview_1.28.1             gage_2.38.3                
    [23] biomaRt_2.44.1              ggplot2_3.3.2              
    [25] pheatmap_1.0.12             RColorBrewer_1.1-2         
    [27] DESeq2_1.28.1               SummarizedExperiment_1.18.2
    [29] DelayedArray_0.14.1         matrixStats_0.56.0         
    [31] Biobase_2.48.0              GenomicRanges_1.40.0       
    [33] GenomeInfoDb_1.24.2         IRanges_2.22.2             
    [35] S4Vectors_0.26.1            BiocGenerics_0.34.0        
loaded via a namespace (and not attached):
  [1] backports_1.1.8        fastmatch_1.1-0        BiocFileCache_1.12.0  
  [4] igraph_1.2.5           splines_4.0.2          BiocParallel_1.22.0   
  [7] urltools_1.7.3         digest_0.6.25          GOSemSim_2.14.1       
 [10] viridis_0.5.1          GO.db_3.11.4           checkmate_2.0.0       
 [13] magrittr_1.5           memoise_1.1.0          cluster_2.1.0         
 [16] Biostrings_2.56.0      annotate_1.66.0        graphlayouts_0.7.0    
 [19] askpass_1.1            enrichplot_1.8.1       prettyunits_1.1.1     
 [22] colorspace_1.4-1       blob_1.2.1             rappdirs_0.3.1        
 [25] xfun_0.16              crayon_1.3.4           RCurl_1.98-1.2        
 [28] jsonlite_1.7.0         graph_1.66.0           scatterpie_0.1.4      
 [31] genefilter_1.70.0      survival_3.2-3         glue_1.4.1            
 [34] polyclip_1.10-0        gtable_0.3.0           zlibbioc_1.34.0       
 [37] XVector_0.28.0         GetoptLong_1.0.2       graphite_1.34.0       
 [40] Rgraphviz_2.32.0       shape_1.4.4            scales_1.1.1          
 [43] futile.options_1.0.1   DBI_1.1.0              Rcpp_1.0.5            
 [46] viridisLite_0.3.0      xtable_1.8-4           progress_1.2.2        
 [49] clue_0.3-57            gridGraphics_0.5-0     bit_4.0.3             
 [52] europepmc_0.4          httr_1.4.2             fgsea_1.14.0          
 [55] ellipsis_0.3.1         pkgconfig_2.0.3        XML_3.99-0.5          
 [58] farver_2.0.3           dbplyr_1.4.4           locfit_1.5-9.4        
 [61] ggplotify_0.0.5        tidyselect_1.1.0       rlang_0.4.7           
 [64] reshape2_1.4.4         munsell_0.5.0          tools_4.0.2           
 [67] downloader_0.4         generics_0.0.2         RSQLite_2.2.0         
 [70] ggridges_0.5.2         org.Hs.eg.db_3.11.4    bit64_4.0.2           
 [73] tidygraph_1.2.0        purrr_0.3.4            KEGGREST_1.28.0       
 [76] formatR_1.7            KEGGgraph_1.48.0       DO.db_2.9             
 [79] xml2_1.3.2             compiler_4.0.2         rstudioapi_0.11       
 [82] curl_4.3               png_0.1-7              tibble_3.0.3          
 [85] tweenr_1.0.1           geneplotter_1.66.0     stringi_1.4.6         
 [88] lattice_0.20-41        Matrix_1.2-18          vctrs_0.3.2           
 [91] pillar_1.4.6           lifecycle_0.2.0        BiocManager_1.30.10   
 [94] triebeard_0.3.0        GlobalOptions_0.1.2    data.table_1.13.0     
 [97] cowplot_1.0.0          bitops_1.0-6           qvalue_2.20.0         
[100] R6_2.4.1               gridExtra_2.3          lambda.r_1.2.4        
[103] MASS_7.3-51.6          assertthat_0.2.1       rjson_0.2.20          
[106] openssl_1.4.2          withr_2.2.0            GenomeInfoDbData_1.2.3
[109] hms_0.5.3              rvcheck_0.1.8          ggforce_0.3.2         
[112] tinytex_0.25