Post #138

Thoughts from the first virtual conference I had nice experience from virtual ICLR 2020. Most of the poster sessions were empty, which allowed me to bother authors with questions. Each paper had two slots during the day, so that I can definitely attend it. Chat allowed finding attendees quite easily, something that I had difficulty with real conferences. So it was much more valuable based on the insights that I gained than in real conference. But I didn't present and can understand that other people didn't get what they wanted. By the way organizers, promised to make the portal available to everyone soon. Now, here are some insights from the papers that I gained. 1) Topic on theoretical explanation of GNNs is hot. We now know some problems that can be approximated with GNN, functions that GNN can compute, limitations of GNN. [paper 1, paper 2, paper 3, paper 4] 2) One emerging topic is to teach GNN to learn algorithms, instead of doing classification task. Here be dragons. [paper 1, paper 2] 3) GNN are used to represent programs and equations. So potentially you can prove theorems with it. [paper 1, paper 2, paper 3, paper 4, paper 5]