Oct 23, 2024 · We introduce the CurvFlow-Transformer, a novel graph Transformer model incorporating a curvature flow-based masked attention mechanism.
Oct 23, 2024 · We introduce the CurvFlow-Transformer, a novel graph Transformer model incorporating a curvature flow-based masked attention mechanism.
Nov 11, 2024 · We introduce the CurvFlow-Transformer, a novel graph Transformer model incorporating a curvature flow-based masked attention mechanism.
Dec 2, 2024 · Cool recent paper leveraging Ricci flow to regularize graph transformer attention layers with an application to molecular analysis (SOTA ...
Nov 24, 2024 · Graph Curvature Flow-Based Masked Attention https://t.co/iHAuFr1VMu #JCIM Vol64 Issue21 #MachineLearning #DeepLearning.
... Graph Curvature Flow-Based Masked Attention. ACS Publications. Journal contribution. https://doi.org/10.1021/acs.jcim.4c01616.s001.
lehaifeng/T-GCN: Temporal Graph Convolutional Network for ... - GitHub
github.com › lehaifeng › T-GCN
We propose a novel neural network-based traffic forecasting method, the temporal graph convolutional network (T-GCN) model.
This work proposes GinfoNN, which utilizes both labels and discrete graph curvature as supervised signals to jointly constrain the training of the model, ...
The overall graph-based information aggregation shows improved performance over the baseline. The Masked Graph Attention Network (MGAT) [4] utilized graph based ...