activity
20142024
most citedMulti-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry

10 citations · 29 across the 9 of their papers we have counts for

collaborators

9 papers

math.AP2024

The rigorous derivation of Vlasov equations with local alignments from moderately interacting particle systems

Jinhuan Wang, Mengdi Zhuang, Hui Huang

In this paper, we present a rigorous derivation of the mean-field limit for a moderately interacting particle system in . For stochastic initial data, we demonstr…

math.AP2024

Error Estimation in the Mean-Field Limit of Kinetic Flocking Models with Local Alignments

Jinhuan Wang, Keyu Li, Hui Huang

In this paper, we present an innovative particle system characterized by moderate interactions, designed to accurately approximate kinetic flocking models that incorporate singular…

q-bio.MN202410 cited

Multi-Modal Representation Learning for Molecular Property Prediction: Sequence, Graph, Geometry

Zeyu Wang, Tianyi Jiang, Jinhuan Wang +1

Molecular property prediction refers to the task of labeling molecules with some biochemical properties, playing a pivotal role in the drug discovery and design process. Recently,…

cs.SI20231 cited

MONA: An Efficient and Scalable Strategy for Targeted k-Nodes Collapse

Yuqian Lv, Bo Zhou, Jinhuan Wang +2

The concept of k-core plays an important role in measuring the cohesiveness and engagement of a network. And recent studies have shown the vulnerability of k-core under adversarial…

cs.LG20231 cited

Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning

Dayuan Chen, Jian Zhang, Yuqian Lv +5

Graph neural networks (GNNs) have achieved remarkable success in various real-world applications. However, recent studies highlight the vulnerability of GNNs to malicious perturbat…

cs.CR20228 cited

TSGN: Transaction Subgraph Networks Assisting Phishing Detection in Ethereum

Jinhuan Wang, Pengtao Chen, Xinyao Xu +4

Due to the decentralized and public nature of the Blockchain ecosystem, the malicious activities on the Ethereum platform impose immeasurable losses for the users. Existing phishin…