
GRASP: Graph Alignment through Spectral Signatures
What is the best way to match the nodes of two graphs? This graph alignm...
read it

InstantEmbedding: Efficient Local Node Representations
In this paper, we introduce InstantEmbedding, an efficient method for ge...
read it

Graph Clustering with Graph Neural Networks
Graph Neural Networks (GNNs) have achieved stateoftheart results on m...
read it

FREDE: LinearSpace Anytime Graph Embeddings
Lowdimensional representations, or embeddings, of a graph's nodes facil...
read it

Just SLaQ When You Approximate: Accurate Spectral Distances for WebScale Graphs
Graph comparison is a fundamental operation in data mining and informati...
read it

Intrinsic Multiscale Evaluation of Generative Models
Generative models are often used to sample highdimensional data points ...
read it

SGR: SelfSupervised Spectral Graph Representation Learning
Representing a graph as a vector is a challenging task; ideally, the rep...
read it

VERSE: Versatile Graph Embeddings from Similarity Measures
Embedding a webscale information network into a lowdimensional vector ...
read it
Anton Tsitsulin
is this you? claim profile