Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering. Temporal Network Representation Learning via Historical Neighborhoods Aggregation. RNE: A Scalable Network Embedding for Billion-scale Recommendation. DeBayes: a Bayesian method for debiasing network embeddings. A Node Embedding Framework for Integration of Similarity …

Weakly-Supervised Disentanglement Without Compromises. CAHPHF: Context-Aware Hierarchical QoS Prediction with Hybrid Filtering. Understanding and Optimizing Packed Neural Network Training for Hyper-Parameter Tuning. Ill-Posedness and Optimization Geometry for Nonlinear Neural Network Training. Learning Nonlinear Loop Invariants with Gated Continuou …