Abstract: Graph convolutional networks (GCN) have recently been studied to exploit the graph topology of the human body for skeleton-based action recognition. However, most of these methods ...
Pre-training Graph Model Phase. In the pre-training phase, we employ link prediction as the self-supervised task for pre-training the graph model. Producer Phase. In the Producer phase, we employ LLM ...
The homesteading pros at Gold Shaw Farm demonstrate hatching ducklings naturally without an incubator. Catherine O'Hara's cause of death revealed Gabbard's office warns attorney against sharing ...
The homesteading pros at Gold Shaw Farm show the full process of hatching goslings on a farm. Prediction: The Trump bull market will come to an abrupt end from an unlikely source -- the Federal ...
This repository contains code for Talk like a Graph: Encoding Graphs for Large Language Models and Let Your Graph Do the Talking: Encoding Structured Data for LLMs. @inproceedigs{fatemi2024talk, ...
Abstract: In this study, we present a novel approach to adversarial attacks for graph neural networks (GNNs), specifically addressing the unique challenges posed by graphical data. Unlike traditional ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results