Search Results for author:
Found 5 papers, 3 papers with code
Enhancing Column Generation by Reinforcement Learning-Based Hyper-Heuristic for Vehicle Routing and Scheduling Problems
In addition, we specify RLHH to solve two typical combinatorial optimization problems: Vehicle Routing Problem with Time Windows (VRPTW) and Bus Driver Scheduling Problem (BDSP).
Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction
In this paper, we construct a biological knowledge graph centered on diseases and genes, and develop an end-to-end Knowledge graph completion model for Disease Gene Prediction using interactional tensor decomposition (called KDGene).
A Pre-training Framework for Knowledge Graph Completion
Knowledge graph completion (KGC) is one of the effective methods to identify new facts in knowledge graph.
AirObject: A Temporally Evolving Graph Embedding for Object Identification
In this context, we propose a novel temporal 3D object encoding approach, dubbed AirObject, to obtain global keypoint graph-based embeddings of objects.
SeaD: End-to-end Text-to-SQL Generation with Schema-aware Denoising
In text-to-SQL task, seq-to-seq models often lead to sub-optimal performance due to limitations in their architecture.
