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Works (13)

Long-term evolutionary patterns matter: Self-supervised anomaly detection on dynamic graphs

Knowledge-Based Systems
2025-02 | Journal article
DOI: 10.1016/j.knosys.2025.113049
Contributors: Yun Fu; Che Zhou; Jintang Li; Liang Chen
Source: check_circle
Crossref

FairAGG: Toward Fair Graph Neural Networks via Fair Aggregation

IEEE Transactions on Computational Social Systems
2024 | Journal article
DOI: 10.1109/TCSS.2024.3385539
Contributors: Yuchang Zhu; Jintang Li; Liang Chen; Zibin Zheng
Source: check_circle
Crossref

One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes

2024-08-25 | Conference paper
DOI: 10.1145/3637528.3672029
Contributors: Yuchang Zhu; Jintang Li; Yatao Bian; Zibin Zheng; Liang Chen
Source: check_circle
Crossref

Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective

2024-08-25 | Conference paper
DOI: 10.1145/3637528.3671967
Contributors: Yunfei Liu; Jintang Li; Yuehe Chen; Ruofan Wu; Ericbk Wang; Jing Zhou; Sheng Tian; Shuheng Shen; Xing Fu; Changhua Meng et al.
Source: check_circle
Crossref

Topology-monitorable Contrastive Learning on Dynamic Graphs

2024-08-25 | Conference paper
DOI: 10.1145/3637528.3671777
Contributors: Zulun Zhu; Kai Wang; Haoyu Liu; Jintang Li; Siqiang Luo
Source: check_circle
Crossref

Fair Graph Representation Learning via Sensitive Attribute Disentanglement

2024-05-13 | Conference paper
DOI: 10.1145/3589334.3645532
Contributors: Yuchang Zhu; Jintang Li; Zibin Zheng; Liang Chen
Source: check_circle
Crossref

Rethinking and Simplifying Bootstrapped Graph Latents

2024-03-04 | Conference paper
DOI: 10.1145/3616855.3635842
Contributors: Wangbin Sun; Jintang Li; Liang Chen; Bingzhe Wu; Yatao Bian; Zibin Zheng
Source: check_circle
Crossref

The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation

2024-03-04 | Conference paper
DOI: 10.1145/3616855.3635768
Contributors: Yuchang Zhu; Jintang Li; Liang Chen; Zibin Zheng
Source: check_circle
Crossref

GUARD: Graph Universal Adversarial Defense

2023-10-21 | Conference paper
DOI: 10.1145/3583780.3614903
Contributors: Jintang Li; Jie Liao; Ruofan Wu; Liang Chen; Zibin Zheng; Jiawang Dan; Changhua Meng; Weiqiang Wang
Source: check_circle
Crossref

SAILOR: Structural Augmentation Based Tail Node Representation Learning

2023-10-21 | Conference paper
DOI: 10.1145/3583780.3615045
Contributors: Jie Liao; Jintang Li; Liang Chen; Bingzhe Wu; Yatao Bian; Zibin Zheng
Source: check_circle
Crossref

Spectral Adversarial Training for Robust Graph Neural Network

IEEE Transactions on Knowledge and Data Engineering
2023-09-01 | Journal article
DOI: 10.1109/TKDE.2022.3222207
Contributors: Jintang Li; Jiaying Peng; Liang Chen; Zibin Zheng; Tingting Liang; Qing Ling
Source: check_circle
Crossref

What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders

2023-08-06 | Conference paper
DOI: 10.1145/3580305.3599546
Contributors: Jintang Li; Ruofan Wu; Wangbin Sun; Liang Chen; Sheng Tian; Liang Zhu; Changhua Meng; Zibin Zheng; Weiqiang Wang
Source: check_circle
Crossref

Unifying multi-associations through hypergraph for bundle recommendation

Knowledge-Based Systems
2022-11 | Journal article
DOI: 10.1016/j.knosys.2022.109755
Contributors: Zhouxin Yu; Jintang Li; Liang Chen; Zibin Zheng
Source: check_circle
Crossref
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