activity
20182022
most citedData Augmentation for Graph Classification

31 citations · 125 across the 22 of their papers we have counts for

collaborators

33 papers

cs.AI2022

Discover Important Paths in the Knowledge Graph Based on Dynamic Relation Confidence

Shanqing Yu, Yijun Wu, Ran Gan +3

Most of the existing knowledge graphs are not usually complete and can be complemented by some reasoning algorithms. The reasoning method based on path features is widely used in t…

cs.LG20229 cited

GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections

Junyuan Fang, Haixian Wen, Jiajing Wu +3

Graph neural networks (GNNs) have found successful applications in various graph-related tasks. However, recent studies have shown that many GNNs are vulnerable to adversarial atta…

cs.CL2022

SubGraph Networks based Entity Alignment for Cross-lingual Knowledge Graph

Shanqing Yu, Shihan Zhang, Jianlin Zhang +4

Entity alignment is the task of finding entities representing the same real-world object in two knowledge graphs(KGs). Cross-lingual knowledge graph entity alignment aims to discov…

q-fin.ST2022

Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction

Panpan Li, Shengbo Gong, Shaocong Xu +3

Blockchain finance has become a part of the world financial system, most typically manifested in the attention to the price of Bitcoin. However, a great deal of work is still limit…

cs.CL2022

Improving robustness of language models from a geometry-aware perspective

Bin Zhu, Zhaoquan Gu, Le Wang +2

Recent studies have found that removing the norm-bounded projection and increasing search steps in adversarial training can significantly improve robustness. However, we observe th…

cs.CR2022

Heterogeneous Feature Augmentation for Ponzi Detection in Ethereum

Chengxiang Jin, Jie Jin, Jiajun Zhou +2

While blockchain technology triggers new industrial and technological revolutions, it also brings new challenges. Recently, a large number of new scams with a "blockchain" sock-pup…