On Graph Kernels

part 176: rethinking kernel methods for node representation learning on graphsПодробнее

KEA Explain: Explanations of Hallucinations using Graph Kernel Analysis (AI Podcast)Подробнее

Part167: scalable global alignment graph kernel using random features: from node embedding to...Подробнее

Part162: effective graph kernels for evolving functional brain networksПодробнее

Part160: graph kernel neural networksПодробнее

Part159: LCS graph kernel based on Wasserstein distance in longest common subsequence metric spaceПодробнее

Part157: Retgk:graph kernels based on return probability of random walksПодробнее

Part146: graph kernels: a surveyПодробнее

Part145: graph kernelsПодробнее

Part143: Taming graph kernels with random featuresПодробнее

Part140: optimal time complexity algorithms for computing general random walks graph kernels...Подробнее

Part133: random walk graph neural networksПодробнее

Mikhail Shkorin - Computing General Random Walk Graph Kernels [DSML Reading Club #3]Подробнее

DSSML24 - Introduction to graph machine learning - Jakub AdamczykПодробнее

Part118: message passing graph kernelsПодробнее

Part117: KerGNNs: interpretable graph neural networks with graph kernelsПодробнее

Part116: convolutional kernel networks for graph structured dataПодробнее

Part110: theoretically improving graph neural networks via anonymous walks graph kernelsПодробнее

Lecture 12a of kernel methods kernels for graphsПодробнее

Temporal Graph Neural Tangent Kernel with Graphon-GuaranteedПодробнее