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Found 5 papers, 0 papers with code
Generative Modeling of Graphs via Joint Diffusion of Node and Edge Attributes
Graph generation is integral to various engineering and scientific disciplines.
Can you text what is happening? Integrating pre-trained language encoders into trajectory prediction models for autonomous driving
In autonomous driving tasks, scene understanding is the first step towards predicting the future behavior of the surrounding traffic participants.
GraphVid: It Only Takes a Few Nodes to Understand a Video
We propose a concise representation of videos that encode perceptually meaningful features into graphs.
LSP : Acceleration and Regularization of Graph Neural Networks via Locality Sensitive Pruning of Graphs
In this paper, we take a further step towards demystifying this phenomenon and propose a systematic method called Locality-Sensitive Pruning (LSP) for graph pruning based on Locality-Sensitive Hashing.
Vision-Guided Forecasting -- Visual Context for Multi-Horizon Time Series Forecasting
We examine the contribution of vision features, and find that a model fed with vision features achieves an error that is 56. 6% and 66. 9% of the error of a model that doesn't use those features, on the Udacity and Comma2k19 datasets respectively.
