Meta-reinforcement learning-based order quantity determination for the multi-echelon inventory management of an assembly system

A Meta-Learning Enhanced Deep Reinforcement Learning Approach for Generalizing Across Orienteering Problem with Time Windows

An Exact Binary Search-Based Approach for Single-Machine Scheduling with Periodic Unavailability

Subgraph-Aware Training of Language Models for Knowledge Graph Completion Using Structure-Aware Contrastive Learning

HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation

Negative Sampling in Next-POI Recommendations: Observation, Approach, and Evaluation

BICE: Exploring Compact Search Space by Using Bipartite Matching and Cell-Wide Verification

Fast subgraph query processing and subgraph matching via static and dynamic equivalences

Versatile equivalences: Speeding up subgraph query processing and subgraph matching

IDAR: Fast supergraph search using DAG integration