Summary of Descriptive Kernel Convolution Network with Improved Random Walk Kernel, by Meng-chieh Lee et al.
Descriptive Kernel Convolution Network with Improved Random Walk Kernelby Meng-Chieh Lee, Lingxiao Zhao, Leman AkogluFirst…
Descriptive Kernel Convolution Network with Improved Random Walk Kernelby Meng-Chieh Lee, Lingxiao Zhao, Leman AkogluFirst…
Classifying Nodes in Graphs without GNNsby Daniel Winter, Niv Cohen, Yedid HoshenFirst submitted to arxiv…
Rethinking Propagation for Unsupervised Graph Domain Adaptationby Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu,…
Choosing a Classical Planner with Graph Neural Networksby Jana Vatter, Ruben Mayer, Hans-Arno Jacobsen, Horst…
Incorporating Retrieval-based Causal Learning with Information Bottlenecks for Interpretable Graph Neural Networksby Jiahua Rao, Jiancong…
Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspectiveby Soo Yong…
PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep Intellectual Property Protectionby Enyan Dai,…
Similarity-based Neighbor Selection for Graph LLMsby Rui Li, Jiwei Li, Jiawei Han, Guoyin WangFirst submitted…
PowerGraph: A power grid benchmark dataset for graph neural networksby Anna Varbella, Kenza Amara, Blazhe…
Statistical Guarantees for Link Prediction using Graph Neural Networksby Alan Chung, Amin Saberi, Morgane AusternFirst…