Posts

Learning to Walk across Time for Interpretable Temporal Knowledge Graph Completion

Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries

Personalized Ranking in Signed Networks using Signed Random Walk with Restart

Supervised Belief Propagation: Scalable Supervised Inference on Attributed Networks

Time-Aware Tensor Decomposition for Missing Entry Prediction

Attention-Based Autoregression for Accurate and Efficient Multivariate Time Series Forecasting

Pea-KD: Parameter-efficient and accurate Knowledge Distillation on BERT

AUBER: Automated BERT Regularization

SIDE: Representation Learning in Signed Directed Networks

FALCON: Lightweight and Accurate Convolution