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Yujun Yan
ORCID
Publication Activity (10 Years)
Years Active: 2018-2024
Publications (10 Years): 23
Top Topics
Biological Data
Structural Features
Graph Representation
Semi Supervised Clustering Algorithm
Top Venues
CoRR
KDD
NeurIPS
SDM
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Publications
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Yihe Wang
,
Nan Huang
,
Taida Li
,
Yujun Yan
,
Xiang Zhang
Medformer: A Multi-Granularity Patching Transformer for Medical Time-Series Classification.
CoRR
(2024)
Vipul Gupta
,
Xin Chen
,
Ruoyun Huang
,
Fanlong Meng
,
Jianjun Chen
,
Yujun Yan
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs.
CoRR
(2024)
Haiquan Lu
,
Xiaotian Liu
,
Yefan Zhou
,
Qunli Li
,
Kurt Keutzer
,
Michael W. Mahoney
,
Yujun Yan
,
Huanrui Yang
,
Yaoqing Yang
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance.
CoRR
(2024)
Peng Liu
,
Yasu Cao
,
Yujun Yan
,
Yong Wang
Firmware Vulnerability Detection Algorithm Based on Matching Pattern-Specific Numerical Features With Structural Features.
IEEE Access
12 (2024)
Zheng Huang
,
Qihui Yang
,
Dawei Zhou
,
Yujun Yan
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning.
CoRR
(2024)
Jiong Zhu
,
Yujun Yan
,
Mark Heimann
,
Lingxiao Zhao
,
Leman Akoglu
,
Danai Koutra
Heterophily and Graph Neural Networks: Past, Present and Future.
IEEE Data Eng. Bull.
46 (2) (2023)
Gaotang Li
,
Marlena Duda
,
Xiang Zhang
,
Danai Koutra
,
Yujun Yan
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks.
CoRR
(2023)
Gaotang Li
,
Marlena Duda
,
Xiang Zhang
,
Danai Koutra
,
Yujun Yan
Interpretable Sparsification of Brain Graphs: Better Practices and Effective Designs for Graph Neural Networks.
KDD
(2023)
Yujun Yan
,
Gaotang Li
,
Danai Koutra
Size Generalizability of Graph Neural Networks on Biological Data: Insights and Practices from the Spectral Perspective.
CoRR
(2023)
Yujun Yan
,
Milad Hashemi
,
Kevin Swersky
,
Yaoqing Yang
,
Danai Koutra
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks.
ICDM
(2022)
Puja Trivedi
,
Ekdeep Singh Lubana
,
Yujun Yan
,
Yaoqing Yang
,
Danai Koutra
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices.
WWW
(2022)
Yefan Zhou
,
Yiru Shen
,
Yujun Yan
,
Chen Feng
,
Yaoqing Yang
A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks.
3DV
(2021)
Yujun Yan
,
Milad Hashemi
,
Kevin Swersky
,
Yaoqing Yang
,
Danai Koutra
Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks.
CoRR
(2021)
Yefan Zhou
,
Yiru Shen
,
Yujun Yan
,
Chen Feng
,
Yaoqing Yang
A Dataset-Dispersion Perspective on Reconstruction Versus Recognition in Single-View 3D Reconstruction Networks.
CoRR
(2021)
Puja Trivedi
,
Ekdeep Singh Lubana
,
Yujun Yan
,
Yaoqing Yang
,
Danai Koutra
Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices.
CoRR
(2021)
Zhengming Zhang
,
Yaoqing Yang
,
Zhewei Yao
,
Yujun Yan
,
Joseph E. Gonzalez
,
Kannan Ramchandran
,
Michael W. Mahoney
Improving Semi-supervised Federated Learning by Reducing the Gradient Diversity of Models.
IEEE BigData
(2021)
Jiong Zhu
,
Yujun Yan
,
Lingxiao Zhao
,
Mark Heimann
,
Leman Akoglu
,
Danai Koutra
Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs.
NeurIPS
(2020)
Yujun Yan
,
Kevin Swersky
,
Danai Koutra
,
Parthasarathy Ranganathan
,
Milad Hashemi
Neural Execution Engines: Learning to Execute Subroutines.
NeurIPS
(2020)
Jiong Zhu
,
Yujun Yan
,
Lingxiao Zhao
,
Mark Heimann
,
Leman Akoglu
,
Danai Koutra
Generalizing Graph Neural Networks Beyond Homophily.
CoRR
(2020)
Yujun Yan
,
Kevin Swersky
,
Danai Koutra
,
Parthasarathy Ranganathan
,
Milad Hashemi
Neural Execution Engines: Learning to Execute Subroutines.
CoRR
(2020)
Zhengming Zhang
,
Zhewei Yao
,
Yaoqing Yang
,
Yujun Yan
,
Joseph E. Gonzalez
,
Michael W. Mahoney
Benchmarking Semi-supervised Federated Learning.
CoRR
(2020)
Yujun Yan
,
Jiong Zhu
,
Marlena Duda
,
Eric Solarz
,
Chandra Sekhar Sripada
,
Danai Koutra
GroupINN: Grouping-based Interpretable Neural Network for Classification of Limited, Noisy Brain Data.
KDD
(2019)
Yujun Yan
,
Mark Heimann
,
Di Jin
,
Danai Koutra
Fast Flow-based Random Walk with Restart in a Multi-query Setting.
SDM
(2018)