Part117: KerGNNs: interpretable graph neural networks with graph kernels
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Last Updated: September 22, 2026
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Summary
Authors: Pinar Yanardag, S.V.N. Vishwanathan Abstract: In this paper, we present Authors: Qingqing Long, Yilun Jin, Yi Wu, Guojie Song. Authors: Yiwei Wang (National University of Singapore), Wei Wang (National University of Singapore), Yuxuan Liang (National ... We consider the following two problems: a) How can we best compare two Weisfeiler-Lehman Neural Machine for Link Prediction Muhan Zhang (Washington University in St. Louis) Yixin Chen ... So the current paper presents a new class of Author: Muhan Zhang, Department of Computer Science and Engineering, Washington University in St. Louis Abstract: In this ... We'll describe different approaches to extracting such ... graph it captures the neighborhood of that in term I mean structurally so they proposed uh In this talk, Ben Burtenshaw from Hugging Face breaks down why optimized All right so today I'm going to be explaining this important uh paper with the title So sub structures are very important in graph classification for example one tool is graph mining