work K-mers Revisiting K-mer Profile for Effective and Scalable Genome Representation Learning GraSSP GraSSP - Continuous-time Graph Representation with Sequential Survival Process PiVeM Piecewise-Velocity Model for Learning Continuous-time Dynamic Node Representations NodeSig NodeSig: Binary Node Embeddings via Random Walk Diffusion MKernelNE Multiple Kernel Representation Learning on Networks EFGE Exponential Family Graph Embeddings TNE Topic-aware latent models for representation learning on networks fun
