160 citations · 253 across the 23 of their papers we have counts for
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cs.LG2022
tBDFS: Temporal Graph Neural Network Leveraging DFS
Uriel Singer, Haggai Roitman, Ido Guy +1
Temporal graph neural networks (temporal GNNs) have been widely researched, reaching state-of-the-art results on multiple prediction tasks. A common approach employed by most previ…
cs.CL2022
What If: Generating Code to Answer Simulation Questions
Gal Peretz, Kira Radinsky
Many texts, especially in chemistry and biology, describe complex processes. We focus on texts that describe a chemical reaction process and questions that ask about the process's…
cs.CL2022★ 1 cited
Temporal Attention for Language Models
Guy D. Rosin, Kira Radinsky
Pretrained language models based on the transformer architecture have shown great success in NLP. Textual training data often comes from the web and is thus tagged with time-specif…