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20112023
most citedEnhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

600 citations · 1.3k across the 42 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

cs.LG2018★ 8 cited

Graph Convolutional Neural Networks via Motif-based Attention

Hao Peng, Jianxin Li, Qiran Gong +3

Many real-world problems can be represented as graph-based learning problems. In this paper, we propose a novel framework for learning spatial and attentional convolution neural ne…

cs.CL2018★ 1 cited

Rational Recurrences

Hao Peng, Roy Schwartz, Sam Thomson +1

Despite the tremendous empirical success of neural models in natural language processing, many of them lack the strong intuitions that accompany classical machine learning approach…

cs.CV2018★ 41 cited

Show, Attend and Translate: Unsupervised Image Translation with Self-Regularization and Attention

Chao Yang, Taehwan Kim, Ruizhe Wang +2

Image translation between two domains is a class of problems aiming to learn mapping from an input image in the source domain to an output image in the target domain. It has been a…

q-bio.GN2018★ 2 cited

Joint Analysis of Individual-level and Summary-level GWAS Data by Leveraging Pleiotropy

Mingwei Dai, Xiang Wan, Hao Peng +5

A large number of recent genome-wide association studies (GWASs) for complex phenotypes confirm the early conjecture for polygenicity, suggesting the presence of large number of va…

cs.SI2018★ 14 cited

Performance Dynamics and Success in Online Games

Anna Sapienza, Hao Peng, Emilio Ferrara

Online data provide a way to monitor how users behave in social systems like social networks and online games, and understand which features turn an ordinary individual into a succ…