Post #251

Node regression problem I asked on twitter what the available node regression data sets there and found quite a few interesting responses. 1. There are pure node regression data sets, but not so many. One can use Wikipedia, Pokec, or data sets from this paper. I hope to release a couple more data sets like these soon. 2. You can also find data sets in spatiotemporal prediction on graphs (eg. traffic forecasting). You are given graph + velocity on each lane and you are asked to predict velocity in the future. My opinion is that the problem is a toy problem: there are no features associated with the nodes (except for a speed). But you can take a look at DCRNN, STGCN, GaAN, Graph WaveNet, STGRAT, etc. models that deal with that. 3. You can find node regression in the work of simulating physics. A node is a particle, it has a few features (eg. position+velocity) you are asked to predict acceleration. This is an interesting problem, but I haven't found data sets. You probably need to write your own simulator. 4. Next scene prediction. Essentially the same as previous, but the objects can be anything: for example, a camera view in a self-driving car. You are asked to predict next position of every object. I don't know if anyone tried to solve this problem. 5. Action prediction for RL agent. NerveNet did it. Each object is a graph and you predict an action for each node.