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Found 9 papers, 4 papers with code
Distributed Multi-Objective Dynamic Offloading Scheduling for Air-Ground Cooperative MEC
Due to such design and the kernel-based neural network, to which decision-making features can be continuously added, the kernel-based approach can outperform the approach based on fully-connected deep neural network, yielding improvement in energy consumption and the backlog performance, as well as a significant reduction in decision-making and online learning time.
Improving LLM-based Machine Translation with Systematic Self-Correction
Large Language Models (LLMs) have achieved impressive results in Machine Translation (MT).
Knowledge-augmented Few-shot Visual Relation Detection
Inspired by this, we devise a knowledge-augmented, few-shot VRD framework leveraging both textual knowledge and visual relation knowledge to improve the generalization ability of few-shot VRD.
Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs
We consider knowledge transfer and retention of the learning on growing snapshots of a KG without having to learn embeddings from scratch.
Inductive Knowledge Graph Reasoning for Multi-batch Emerging Entities
We propose a walk-based inductive reasoning model to tackle the new setting.
Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs
To avoid retraining an entire model on the whole KGs whenever new entities and triples come, we present a continual alignment method for this task.
Retrieve Synonymous keywords for Frequent Queries in Sponsored Search in a Data Augmentation Way
Firstly, we devise a Trie-based translation model to make a data increment.
Learning High-order Structural and Attribute information by Knowledge Graph Attention Networks for Enhancing Knowledge Graph Embedding
The goal of representation learning of knowledge graph is to encode both entities and relations into a low-dimensional embedding spaces.
PDD Graph: Bridging Electronic Medical Records and Biomedical Knowledge Graphs via Entity Linking
Electronic medical records contain multi-format electronic medical data that consist of an abundance of medical knowledge.
