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#weisfeiler-lehman News & Analysis

2 articles tagged with #weisfeiler-lehman. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Mar 37/103
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FSW-GNN: A Bi-Lipschitz WL-Equivalent Graph Neural Network

Researchers introduce FSW-GNN, the first Message Passing Neural Network that is fully bi-Lipschitz with respect to standard WL-equivalent graph metrics. This addresses the limitation where standard MPNNs produce poorly distinguishable outputs for separable graphs, with empirical results showing competitive performance and superior accuracy in long-range tasks.

AINeutralarXiv – CS AI · 6h ago5/10
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From Token Lists to Graph Motifs: Weisfeiler-Lehman Analysis of Sparse Autoencoder Features

Researchers introduce a novel graph-based analysis method for sparse autoencoders (SAEs) in transformer models, using Weisfeiler-Lehman graph kernels to examine token co-occurrence patterns in SAE features. Applied to GPT-2 Small, this approach identifies structural motif families that traditional decoder weight analysis misses, revealing complementary insights into how neural networks organize semantic information.