Set author and contributor lists

index.rmd

@@ -1,6 +1,6 @@
 --- 
 title: "Topological Deep Learning: Going Beyond Graph Data"
-author: "Mustafa Hajij, Theodore Papamarkou, Ghada Zamzmi, Nina Miolane, Aldo Guzmán-Sáenz, Karthikeyan Natesan Ramamurthy, Tolga Birdal, Tamal K. Dey, Soham Mukherjee, Shreyas N. Samaga, Neal Livesay, Robin Walters, Paul Rosen, Michael T. Schaub"
+author: "Mustafa Hajij, Theodore Papamarkou, Ghada Zamzmi, Karthikeyan Natesan Ramamurthy, Tolga Birdal, Michael T. Schaub"
 date: "`r Sys.Date()`"
 documentclass: krantz
 bibliography: [bib/main.bib, bib/related-work.bib, bib/appendix.bib]
@@ -28,6 +28,10 @@ lapply(c('xfun'), function(pkg) {
 })
 ```
 
+# Contributors {-}
+
+Along with the co-authors, the following contributors have made various contributions to the writing up of this book: *Nina Miolane, Aldo Guzmán-Sáenz, Tamal K. Dey, Soham Mukherjee, Shreyas N. Samaga, Neal Livesay, Robin Walters, Paul Rosen*.
+
 # Preface {-}
 
 Topological deep learning is a rapidly growing field that pertains to the development of deep learning models for data supported on topological domains such as simplicial complexes, cell complexes, and hypergraphs, which generalize many domains encountered in scientific computations. In this paper, we present a unifying deep learning framework built upon a richer data structure that includes widely adopted topological domains.