1 citations · 1 across the 2 of their papers we have counts for
4 papers
MetaRTL: Meta-path Attention Enhanced Relational Table Learning
Ken Zhong, Weichen Li, Zheng Wang
Relational table learning has gained increasing attention with the widespread use of relational databases. Existing methods typically rely on deep GNN or HGNN stacks, leading to hi…
InRTL: Effective Intra-Inter Interaction Learning for Relational Tables
Weichen Li, Ken Zhong, Zheng Wang +2
Relational table learning has recently emerged as an important research direction for modeling multiple tables connected through primary key-foreign key (PK-FK) relationships. Desp…
rLLM: Relational Table Learning with LLMs
Weichen Li, Xiaotong Huang, Jianwu Zheng +4
We introduce rLLM (relationLLM), a PyTorch library designed for Relational Table Learning (RTL) with Large Language Models (LLMs). The core idea is to decompose state-of-the-art Gr…
Learning to Play Text-based Adventure Games with Maximum Entropy Reinforcement Learning
Weichen Li, Rati Devidze, Sophie Fellenz
Text-based games are a popular testbed for language-based reinforcement learning (RL). In previous work, deep Q-learning is commonly used as the learning agent. Q-learning algorith…