activity
20182022
most citedDirected Graph Convolutional Network

65 citations · 93 across the 6 of their papers we have counts for

collaborators

10 papers

eess.SP20223 cited

AirFormer: Predicting Nationwide Air Quality in China with Transformers

Yuxuan Liang, Yutong Xia, Songyu Ke +5

Air pollution is a crucial issue affecting human health and livelihoods, as well as one of the barriers to economic and social growth. Forecasting air quality has become an increas…

cs.CL20221 cited

GRAPHCACHE: Message Passing as Caching for Sentence-Level Relation Extraction

Yiwei Wang, Muhao Chen, Wenxuan Zhou +3

Entity types and textual context are essential properties for sentence-level relation extraction (RE). Existing work only encodes these properties within individual instances, whic…

cs.CL20221 cited

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis

Yiwei Wang, Muhao Chen, Wenxuan Zhou +6

Recent literature focuses on utilizing the entity information in the sentence-level relation extraction (RE), but this risks leaking superficial and spurious clues of relations. As…

cs.SI202021 cited

GraphCrop: Subgraph Cropping for Graph Classification

Yiwei Wang, Wei Wang, Yuxuan Liang +2

We present a new method to regularize graph neural networks (GNNs) for better generalization in graph classification. Observing that the omission of sub-structures does not necessa…

cs.LG202065 cited

Directed Graph Convolutional Network

Zekun Tong, Yuxuan Liang, Changsheng Sun +2

Graph Convolutional Networks (GCNs) have been widely used due to their outstanding performance in processing graph-structured data. However, the undirected graphs limit their appli…

cs.CV2020

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics

Yuxuan Liang, Kun Ouyang, Yiwei Wang +4

Citywide crowd flow analytics is of great importance to smart city efforts. It aims to model the crowd flow (e.g., inflow and outflow) of each region in a city based on historical…