Term graph rewriting is concerned with the representation of functional expressions as graphs, and the evaluation of these expressions by rule-based graph transformation. Representing expressions as ...

Through graph transformations, we determine the graph that minimizes the Laplacian ratios among all caterpillar trees. In this paper, in Section 2, we provide some preliminary knowledge. In Section 3, ...

The graph of cos (x) is equivalent to a graph of sin (x) that has been shifted π 2 units in the negative direction of the x -axis. Tan While graphs for cosine and sine functions are similar, those for ...

Transformations of graphs of exponential and logarithmic functions Transformations of exponential and logarithmic function graphs involve dilating (also known as stretching or compressing), reflecting ...

Elon Musk’s transformation, in his own words Our analysis of 38,000 posts on X reveal a changed man Photograph: Getty Images Nov 21st 2024 | 3 min read ...

In the case of terminating graph-transformation systems, confluence is undecidable (using critical pairs as a DP) unless certain restrictions are applied. In this setting, join-ability of critical ...

Motivation. At a high level, we at Neural Magic are writing a custom compiler for Torch Dynamo to define a system within vLLM where we can write graph transformations. The main goal is a separation ...

I have been running into an issue, where I want to deploy a classifier-guided diffusion model with ONNX, but there is currently no easy way to export the gradient of an ONNX graph. PyTorch's ONNX ...