87 citations · 142 across the 5 of their papers we have counts for
5 papers
Debiasing Recommendation with Personal Popularity
Wentao Ning, Reynold Cheng, Xiao Yan +4
Global popularity (GP) bias is the phenomenon that popular items are recommended much more frequently than they should be, which goes against the goal of providing personalized rec…
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs
Jinyang Li, Binyuan Hui, Ge Qu +15
Text-to-SQL parsing, which aims at converting natural language instructions into executable SQLs, has gained increasing attention in recent years. In particular, Codex and ChatGPT…
Graphix-T5: Mixing Pre-Trained Transformers with Graph-Aware Layers for Text-to-SQL Parsing
Jinyang Li, Binyuan Hui, Reynold Cheng +7
The task of text-to-SQL parsing, which aims at converting natural language questions into executable SQL queries, has garnered increasing attention in recent years, as it can assis…
A Survey on Machine Learning Solutions for Graph Pattern Extraction
Kai Siong Yow, Ningyi Liao, Siqiang Luo +3
A subgraph is constructed by using a subset of vertices and edges of a given graph. There exist many graph properties that are hereditary for subgraphs. Hence, researchers from dif…
Automatic Meta-Path Discovery for Effective Graph-Based Recommendation
Wentao Ning, Reynold Cheng, Jiajun Shen +7
Heterogeneous Information Networks (HINs) are labeled graphs that depict relationships among different types of entities (e.g., users, movies and directors). For HINs, meta-path-ba…