Baokun Wang

According to our database1, Baokun Wang authored at least 10 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2023
LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning.
CoRR, 2023

Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs.
CoRR, 2023

A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks.
CoRR, 2023

DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk.
CoRR, 2023

Multi-Aspect Heterogeneous Graph Augmentation.
Proceedings of the ACM Web Conference 2023, 2023

SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Self-supervision meets kernel graph neural models: From architecture to augmentations.
Proceedings of the IEEE International Conference on Data Mining, 2023

2022
eRiskCom: an e-commerce risky community detection platform.
VLDB J., 2022

2018
Image Adaptive Denoising Based on Nonsubsampled Contourlet Transform.
Wirel. Pers. Commun., 2018

Design, Synthesis and Application of A Novel Approximate Adder.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018


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