[R] Beyond Vector Spaces: Compact Data Representations Differentiable Weighted Graphs
Paper: https://arxiv.org/abs/1910.03524 (NeurIPS 2019)
The paper proposes an embedding layer based on weighted graph instead of vectors. Intuitively, this layer learns to represent concepts/words by their relation to other. Trains by backprop w.r.t. graph edges.
Interactive version of the plot above: https://neurips-anonymous.github.io/index.html