2 citations · 4 across the 6 of their papers we have counts for
3 papers · 1 filter
OCTen: Online Compression-based Tensor Decomposition
Ekta Gujral, Ravdeep Pasricha, Tianxiong Yang +1
Tensor decompositions are powerful tools for large data analytics as they jointly model multiple aspects of data into one framework and enable the discovery of the latent structure…
t-PINE: Tensor-based Predictable and Interpretable Node Embeddings
Saba A. Al-Sayouri, Ekta Gujral, Danai Koutra +2
Graph representations have increasingly grown in popularity during the last years. Existing representation learning approaches explicitly encode network structure. Despite their go…
Identifying and Alleviating Concept Drift in Streaming Tensor Decomposition
Ravdeep Pasricha, Ekta Gujral, Evangelos E. Papalexakis
Tensor decompositions are used in various data mining applications from social network to medical applications and are extremely useful in discovering latent structures or concepts…