most citedInfluential Simplices Mining via Simplicial Convolutional Network

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2023★ 1 cited

Cooperative Network Learning for Large-Scale and Decentralized Graphs

Qiang Wu, Yiming Huang, Yujie Zeng +3

Graph research, the systematic study of interconnected data points represented as graphs, plays a vital role in capturing intricate relationships within networked systems. However,…

cs.LG2023★ 1 cited

Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes

Yiming Huang, Yujie Zeng, Qiang Wu +1

Despite the recent successes of vanilla Graph Neural Networks (GNNs) on various tasks, their foundation on pairwise networks inherently limits their capacity to discern latent high…

cs.SI2023★ 2 cited

Influential Simplices Mining via Simplicial Convolutional Network

Yujie Zeng, Yiming Huang, Qiang Wu +1

Simplicial complexes have recently been in the limelight of higher-order network analysis, where a minority of simplices play crucial roles in structures and functions due to netwo…

cs.CL2023

SHQA: A Three-Stage Approach for Multi-hop Text-Table Hybrid Question Answering

Fangyu Lei, Xiang Li, Yifan Wei +4

Answering multi-hop questions over hybrid factual knowledge from the given text and table (TextTableQA) is a challenging task. Existing models mainly adopt a retriever-reader frame…

cs.SI2023★ 1 cited

Identifying vital nodes through augmented random walks on higher-order networks

Yujie Zeng, Yiming Huang, Xiao-Long Ren +1

Empirical networks possess considerable heterogeneity of node connections, resulting in a small portion of nodes playing crucial roles in network structure and function. Yet, how t…