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Found 4 papers, 2 papers with code
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network
For that, we use more than 100, 000 research papers and build up a knowledge network with more than 64, 000 concept nodes.
A Primer on Deep Learning for Causal Inference
This review systematizes the emerging literature for causal inference using deep neural networks under the potential outcomes framework.
Joint Content-Context Analysis of Scientific Publications: Identifying Opportunities for Collaboration in Cognitive Science
This work studies publications in the field of cognitive science and utilizes mathematical techniques to connect the analysis of the papers' content (abstracts) to the context (citation, journals).
Integrating topic modeling and word embedding to characterize violent deaths
Our method offers a flexible and broadly applicable approach to model topics in text data.
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