Jeong ii taeReally helpful to knowledge graph for reasoning and improving LLM performance?Evolving the industry of LLM, we had been faced the challenge for enhancing their performance aspect of hallucination , data privacy and…7 min read·Apr 15, 2024----
Jeong ii taeSemantic search and its supplement ‘Graph based prompting’Graph Neural Prompting with Large Language Models6 min read·Mar 24, 2024----
Jeong ii taeFrom RAG to GraphRAG , What is the GraphRAG and why i use it?Before discussing RAG and GraphRAG,13 min read·Mar 12, 2024--1--1
Jeong ii taeGraphRAG, Let’s check the rationality with the paper and a few checklists to see if it’s time to…Email : [email protected]9 min read·Mar 3, 2024----
Jeong ii taeNeural Scaling Laws on Graphs, do you believe is there strong related between model , data size…Correlation between model , data size and model performance at grpah data.6 min read·Feb 25, 2024----
Jeong ii taeGraNNDis / before you worried the large graph training , this architecture can help your worry…GraNNDis: Efficient Unified Distributed Training Framework for Deep GNNs on Large Clusters6 min read·Feb 18, 2024--1--1
Jeong ii taeGraph FDS | before we implement the model , we must know the trend of FDS paper — 04review _ Pick and Choose: A GNN-based Imbalanced Learning Approach for Fraud Detection6 min read·Feb 4, 2024----
Jeong ii taeGraph FDS | before we implement the model , we must know the trend of FDS paper — 03H2-FDetector: A GNN-based Fraud Detector with Homophilic and Heterophilic Connections5 min read·Jan 29, 2024----
Jeong ii taeGraph FDS | before we implement the model , we must know the trend of FDS paper — 02Label Information Enhanced Fraud Detection against Low Homophily in Graphs4 min read·Jan 22, 2024--1--1