activity
20192022
most citedMultiple instance learning with graph neural networks

55 citations · 105 across the 9 of their papers we have counts for

collaborators

15 papers

cs.CL2022

Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs

Chao Shang, Guangtao Wang, Peng Qi +1

Question answering over temporal knowledge graphs (KGs) efficiently uses facts contained in a temporal KG, which records entity relations and when they occur in time, to answer nat…

cs.CL2021

Semantic Categorization of Social Knowledge for Commonsense Question Answering

Gengyu Wang, Xiaochen Hou, Diyi Yang +2

Large pre-trained language models (PLMs) have led to great success on various commonsense question answering (QA) tasks in an end-to-end fashion. However, little attention has been…

cs.CL20214 cited

Joint System-Wise Optimization for Pipeline Goal-Oriented Dialog System

Zichuan Lin, Jing Huang, Bowen Zhou +2

Recent work (Takanobu et al., 2020) proposed the system-wise evaluation on dialog systems and found that improvement on individual components (e.g., NLU, policy) in prior work may…

cs.LG2021

UniGNN: a Unified Framework for Graph and Hypergraph Neural Networks

Jing Huang, Jie Yang

Hypergraph, an expressive structure with flexibility to model the higher-order correlations among entities, has recently attracted increasing attention from various research domain…

cs.CV2021

Residual Enhanced Multi-Hypergraph Neural Network

Jing Huang, Xiaolin Huang, Jie Yang

Hypergraphs are a generalized data structure of graphs to model higher-order correlations among entities, which have been successfully adopted into various research domains. Meanwh…

cs.CL20214 cited

Graph Ensemble Learning over Multiple Dependency Trees for Aspect-level Sentiment Classification

Xiaochen Hou, Peng Qi, Guangtao Wang +4

Recent work on aspect-level sentiment classification has demonstrated the efficacy of incorporating syntactic structures such as dependency trees with graph neural networks(GNN), b…