LambdaNet: Probabilistic Type Inference using Graph Neural Networks — mentioned by legothief

Wed, 29 Jun 2022 18:19:35 GMT

I'm also quite excited about that - there's existing research, quite a few papers that are using graph-based models for MLOnCode: https://proceedings.neurips.cc/paper/2021/file/c2937f3a1b3a1... https://arxiv.org/abs/2203.05181 https://arxiv.org/abs/2005.02161 https://arxiv.org/abs/2012.07023 https://arxiv.org/abs/2005.10636v2 https://arxiv.org/abs/2106.10918 Definitely check them out! There are also tools that were made available by some of the authors: https://github.com/google-research/python-graphs

Paper and discussion history. A mention is not an endorsement.

LambdaNet: Probabilistic Type Inference using Graph Neural Networks — mentioned by shmageggy

Thu, 20 Aug 2020 21:17:42 GMT

It used to be that "type inference" would successfully disambiguate, but now things like these exist https://arxiv.org/abs/2005.02161 https://arxiv.org/abs/2004.10657

Paper and discussion history. A mention is not an endorsement.

LambdaNet: Probabilistic Type Inference using Graph Neural Networks · HackerPapers discussions

LambdaNet: Probabilistic Type Inference using Graph Neural Networks — mentioned by legothief

LambdaNet: Probabilistic Type Inference using Graph Neural Networks — mentioned by shmageggy