519 citations · 2.4k across the 48 of their papers we have counts for
16 papers · 1 filter
Enhancing Extractive Text Summarization with Topic-Aware Graph Neural Networks
Peng Cui, Le Hu, Yuanchao Liu
Text summarization aims to compress a textual document to a short summary while keeping salient information. Extractive approaches are widely used in text summarization because of…
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation
Hande Dong, Jiawei Chen, Fuli Feng +4
The original design of Graph Convolution Network (GCN) couples feature transformation and neighborhood aggregation for node representation learning. Recently, some work shows that…
Inducing Alignment Structure with Gated Graph Attention Networks for Sentence Matching
Peng Cui, Le Hu, Yuanchao Liu
Sentence matching is a fundamental task of natural language processing with various applications. Most recent approaches adopt attention-based neural models to build word- or phras…
Permutation-equivariant and Proximity-aware Graph Neural Networks with Stochastic Message Passing
Ziwei Zhang, Chenhao Niu, Peng Cui +3
Graph neural networks (GNNs) are emerging machine learning models on graphs. Permutation-equivariance and proximity-awareness are two important properties highly desirable for GNNs…
Adversarial Eigen Attack on Black-Box Models
Linjun Zhou, Peng Cui, Yinan Jiang +1
Black-box adversarial attack has attracted a lot of research interests for its practical use in AI safety. Compared with the white-box attack, a black-box setting is more difficult…
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Xiao Wang, Meiqi Zhu, Deyu Bo +3
Graph Convolutional Networks (GCNs) have gained great popularity in tackling various analytics tasks on graph and network data. However, some recent studies raise concerns about wh…