Post #252

Brief analytics of KDD papers Here are some plots for upcoming KDD 2020 (only research track). It's interesting to compare it against ICML 2020. You can check out git repo with the analysis. Here is highlights: 1. Top affiliations at KDD are different than at ICML, with several "small" names at the top. 2. Leading authors are almost all from China. 3. There are more authors per paper (~4-5) at KDD than at ICML (~3-4). Only a single paper with a single author. 4. There are ~65 graph papers, with a handful batch on pure algorithms. 5. In total there are 217 research papers. Graphs comprise about 30% of all papers. 6. Wordcloud confirms: graphs are the most used word in titles. 7. "Geodesic Forests" is the shortest title appeared.