Search Results for author: Jiajing Wu

Found 6 papers, 2 papers with code

Time-aware Metapath Feature Augmentation for Ponzi Detection in Ethereum

no code implementations30 Oct 2022 Chengxiang Jin, Jiajun Zhou, Jie Jin, Jiajing Wu, Qi Xuan

With the development of Web 3. 0 which emphasizes decentralization, blockchain technology ushers in its revolution and also brings numerous challenges, particularly in the field of cryptocurrency.

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

1 code implementation23 Oct 2022 Junyuan Fang, Haixian Wen, Jiajing Wu, Qi Xuan, Zibin Zheng, Chi K. Tse

Specifically, to make the node injections as imperceptible and effective as possible, we propose a sampling operation to determine the degree of the newly injected nodes, and then generate features and select neighbors for these injected nodes based on the statistical information of features and evolutionary perturbations obtained from a genetic algorithm, respectively.

MG-GCN: Fast and Effective Learning with Mix-grained Aggregators for Training Large Graph Convolutional Networks

no code implementations17 Nov 2020 Tao Huang, Yihan Zhang, Jiajing Wu, Junyuan Fang, Zibin Zheng

To tackle the dilemma between accuracy and efficiency, we propose to use aggregators with different granularities to gather neighborhood information in different layers.

Blockchain Intelligence: When Blockchain Meets Artificial Intelligence

no code implementations11 Dec 2019 Zibin Zheng, Hong-Ning Dai, Jiajing Wu

Blockchain is gaining extensive attention due to its provision of secure and decentralized resource sharing manner.

T-EDGE: Temporal WEighted MultiDiGraph Embedding for Ethereum Transaction Network Analysis

1 code implementation13 May 2019 Jiajing Wu, Dan Lin, Zibin Zheng, Qi Yuan

By taking the realistic rules and features of transaction networks into consideration, we first model the Ethereum transaction network as a Temporal Weighted Multidigraph (TWMDG), where each node is a unique Ethereum account and each edge represents a transaction weighted by amount and assigned with timestamp.

Social and Information Networks Applications

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