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On the Experimental Transferability of Spectral Graph Convolutional Networks

On The Choice of Graph Neural Network Architectures

Graph Embeddings for One-pass Processing of Heterogeneous Queries

Dynamic pattern recognition in large-scale graphs with applications to social networks

Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement

Modeling, predicting and mining metabolism at atom-level resolution

On subgraphs of C-2k-free graphs and a problem of Kuhn and Osthus

Non-Exponential Variations for Classical Results in First Passage Percolation

Slepian Guided Filtering of Graph Signals

How single neuron properties shape chaotic dynamics and signal transmission in random neural networks