Summary of Df-gnn: Dynamic Fusion Framework For Attention Graph Neural Networks on Gpus, by Jiahui Liu et al.
DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUsby Jiahui Liu, Zhenkun Cai,…
DF-GNN: Dynamic Fusion Framework for Attention Graph Neural Networks on GPUsby Jiahui Liu, Zhenkun Cai,…
Graph Adapter of EEG Foundation Models for Parameter Efficient Fine Tuningby Toyotaro Suzumura, Hiroki Kanezashi,…
TANGNN: a Concise, Scalable and Effective Graph Neural Networks with Top-m Attention Mechanism for Graph…
Guiding Word Equation Solving using Graph Neural Networks (Extended Technical Report)by Parosh Aziz Abdulla, Mohamed…
LLaSA: Large Language and Structured Data Assistantby Yao Xu, Shizhu He, Jiabei Chen, Zeng Xiangrong,…
GNN-MultiFix: Addressing the pitfalls for GNNs for multi-label node classificationby Tianqi Zhao, Megha KhoslaFirst submitted…
Advancing Heatwave Forecasting via Distribution Informed-Graph Neural Networks (DI-GNNs): Integrating Extreme Value Theory with GNNsby…
Domain Adaptive Unfolded Graph Neural Networksby Zepeng Zhang, Olga FinkFirst submitted to arxiv on: 20…
Graph as a feature: improving node classification with non-neural graph-aware logistic regressionby Simon Delarue, Thomas…
Unveiling the Inflexibility of Adaptive Embedding in Traffic Forecastingby Hongjun Wang, Jiyuan Chen, Lingyu Zhang,…