13 citations · 29 across the 8 of their papers we have counts for
8 papers
Facilitating Feature and Topology Lightweighting: An Ethereum Transaction Graph Compression Method for Malicious Account Detection
Jiajun Zhou, Xuanze Chen, Shengbo Gong +4
Ethereum has become one of the primary global platforms for cryptocurrency, playing an important role in promoting the diversification of the financial ecosystem. However, the rela…
Multi-triplet Feature Augmentation for Ponzi Scheme Detection in Ethereum
Chengxiang Jin, Jiajun Zhou, Shengbo Gong +2
Blockchain technology revolutionizes the Internet, but also poses increasing risks, particularly in cryptocurrency finance. On the Ethereum platform, Ponzi schemes, phishing scams,…
PathMLP: Smooth Path Towards High-order Homophily
Jiajun Zhou, Chenxuan Xie, Shengbo Gong +4
Real-world graphs exhibit increasing heterophily, where nodes no longer tend to be connected to nodes with the same label, challenging the homophily assumption of classical graph n…
Clarify Confused Nodes via Separated Learning
Jiajun Zhou, Shengbo Gong, Xuanze Chen +4
Graph neural networks (GNNs) have achieved remarkable advances in graph-oriented tasks. However, real-world graphs invariably contain a certain proportion of heterophilous nodes, c…
Neighborhood Homophily-based Graph Convolutional Network
Shengbo Gong, Jiajun Zhou, Chenxuan Xie +1
Graph neural networks (GNNs) have been proved powerful in graph-oriented tasks. However, many real-world graphs are heterophilous, challenging the homophily assumption of classical…
A cloud platform for automating and sharing analysis of raw simulation data from high throughput polymer molecular dynamics simulations
Tian Xie, Ha-Kyung Kwon, Daniel Schweigert +9
Open material databases storing hundreds of thousands of material structures and their corresponding properties have become the cornerstone of modern computational materials scienc…
Examining graph neural networks for crystal structures: limitations and opportunities for capturing periodicity
Sheng Gong, Tian Xie, Yang Shao-Horn +2
Historically, materials informatics has relied on human-designed descriptors of materials structures. In recent years, graph neural networks (GNNs) have been proposed for learning…
BlockGC: A Joint Learning Framework for Account Identity Inference on Blockchain with Graph Contrast
Jiajun Zhou, Chenkai Hu, Shenbo Gong +3
Blockchain technology has the characteristics of decentralization, traceability and tamper proof, which creates a reliable decentralized transaction mode, further accelerating the…