Summary of Flexible Diffusion Scopes with Parameterized Laplacian For Heterophilic Graph Learning, by Qincheng Lu et al.
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learningby Qincheng Lu, Jiaqi Zhu, Sitao…
Flexible Diffusion Scopes with Parameterized Laplacian for Heterophilic Graph Learningby Qincheng Lu, Jiaqi Zhu, Sitao…
Detecting Homeomorphic 3-manifolds via Graph Neural Networksby Craig Lawrie, Lorenzo MansiFirst submitted to arxiv on:…
Applying graph neural network to SupplyGraph for supply chain networkby Kihwan HanFirst submitted to arxiv…
Relational Graph Convolutional Networks Do Not Learn Sound Rulesby Matthew Morris, David J. Tena Cucala,…
E-CGL: An Efficient Continual Graph Learnerby Jianhao Guo, Zixuan Ni, Yun Zhu, Siliang TangFirst submitted…
Graph neural network surrogate for strategic transport planningby Nikita Makarov, Santhanakrishnan Narayanan, Constantinos AntoniouFirst submitted…
A Novel Spatiotemporal Coupling Graph Convolutional Networkby Fanghui BiFirst submitted to arxiv on: 9 Aug…
RW-NSGCN: A Robust Approach to Structural Attacks via Negative Samplingby Shuqi He, Jun Zhuang, Ding…
Knowledge Probing for Graph Representation Learningby Mingyu Zhao, Xingyu Huang, Ziyu Lyu, Yanlin Wang, Lixin…
MLC-GCN: Multi-Level Generated Connectome Based GCN for AD Analysisby Wenqi Zhu, Yinghua Fu, Ze WangFirst…