4 papers
Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection
Xin Huang, Ashish Khetan, Rene Bidart +1
Transformer-based language models such as BERT have achieved the state-of-the-art performance on various NLP tasks, but are computationally prohibitive. A recent line of works use…
AGL: a Scalable System for Industrial-purpose Graph Machine Learning
Dalong Zhang, Xin Huang, Ziqi Liu +8
Machine learning over graphs have been emerging as powerful learning tools for graph data. However, it is challenging for industrial communities to leverage the techniques, such as…
DSSLP: A Distributed Framework for Semi-supervised Link Prediction
Dalong Zhang, Xianzheng Song, Ziqi Liu +4
Link prediction is widely used in a variety of industrial applications, such as merchant recommendation, fraudulent transaction detection, and so on. However, it's a great challeng…
Adversarial Attack on Graph Structured Data
Hanjun Dai, Hui Li, Tian Tian +4
Deep learning on graph structures has shown exciting results in various applications. However, few attentions have been paid to the robustness of such models, in contrast to numero…