Post #391

What 2021 holds for Graph ML? Great format of mini interviews with researchers in graph ML about what's important in the field. I participated too, speaking on the great applications of GNNs we had in 2020 and what we may see changing in 2021. It's very interesting to hear what others think is important and while there are some common themes (e.g. drug discovery, graph construction, stronger GNNs), the interviewees share their distinct predictions (e.g new specialized hardware, applications to RL, causal reasoning, decision making).