Session-based Recommendation with Heterogeneous Graph Neural Network
IA-GCN: Interactive Graph Convolutional Network for Recommendation
Two-dimensional topological order and operator algebras Bayesian Calibration using Different Prior Distributions: an Iterative
  Maximum A Posteriori Approach for Radio Interferometers A Unified Software Framework for Empirical Gramians Improving the Scalability of a Prosumer Cooperative Game with K-Means
  Clustering Differentially Private Variable Selection via the Knockoff Filter SINR-based k-coverage probability in cellular networks with arbitrary
  shadowing Courcelle's theorem for triangulations Null models for multi-optimized large-scale network structures LILA: Language-Informed Latent Actions Machine Learning Empowered Intelligent Data Center Networking: A Survey New deformations of Convolution algebras and Fourier algebras on locally
  compact groups The Epistemic Virtues of the Virtuous Theorist: On Albert Einstein and
  His Autobiography Risk evaluation with enhaced covariance matrix Artificial Light Harvesting by Dimerized Mobius Ring Phase Transitions in Models of Bird Flocking Tractable Minor-free Generalization of Planar Zero-field Ising Models Ionic liquid dynamics in nanoporous carbon: A pore-size- and
  temperature-dependent neutron spectroscopy study on supercapacitor materials Exploring Deep Hybrid Tensor-to-Vector Network Architectures for
  Regression Based Speech Enhancement Predicting Student Performance in an Educational Game Using a Hidden
  Markov Model Constrained optimization in classes of analytic functions with
  prescribed pointwise values RG Flows and Bifurcations Safety design concepts for statistical machine learning components
  toward accordance with functional safety standards An exact framework for uncertainty quantification in Monte Carlo
  simulation
cs.IR cs.AI