AutoGL Release v0.4.0

• We have proposed NAS-Bench-Graph (paper, code, tutorial), the first NAS-benchmark for graphs published in NeurIPS'22. By using AutoGL together with NAS-Bench-Graph, the performance estimation process of GraphNAS algorithms can be greatly speeded up.
• We have supported the graph robustness algorithms in AutoGL, including graph structure engineering, robust GNNs and robust GraphNAS. See robustness tutorial for more details.
• We have supported graph self-supervised learning! See self-supervised learning tutorial for more details.