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Yixin Liu 0001
Person information
- affiliation: Monash University, Clayton, VIC, Australia
Other persons with the same name
- Yixin Liu — disambiguation page
- Yixin Liu 0002
— Lehigh University, Department of Computer Science, Bethlehem, PA, USA
- Yixin Liu 0003 — Yale University, Department of Computer Science, New Haven, CT, USA (and 1 more)
- Yixin Liu 0004
- Yixin Liu 0005
- Yixin Liu 0006
- Yixin Liu 0007
- Yixin Liu 0008
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2020 – today
- 2024
- [j7]Shirui Pan
Integrating Graphs With Large Language Models: Methods and Prospects. IEEE Intell. Syst. 39(1): 64-68 (2024) - [j6]Shaoxiong Ji, Yue Tan, Teemu Saravirta, Zhiqin Yang, Yixin Liu, Lauri Vasankari, Shirui Pan, Guodong Long, Anwar Walid:
Emerging trends in federated learning: from model fusion to federated X learning. Int. J. Mach. Learn. Cybern. 15(9): 3769-3790 (2024) - [c12]Luzhi Wang, Dongxiao He, He Zhang
GOODAT: Towards Test-Time Graph Out-of-Distribution Detection. AAAI 2024: 15537-15545 - [c11]Shiyuan Li
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. CIKM 2024: 1255-1265 - [c10]Yixin Liu
Self-Supervision Improves Diffusion Models for Tabular Data Imputation. CIKM 2024: 1513-1522 - [c9]Kaize Ding
Divide and Denoise: Empowering Simple Models for Robust Semi-Supervised Node Classification against Label Noise. KDD 2024: 574-584 - [i22]Luzhi Wang, Dongxiao He, He Zhang
GOODAT: Towards Test-time Graph Out-of-Distribution Detection. CoRR abs/2401.06176 (2024) - [i21]Yixin Liu, Shiyuan Li, Yu Zheng, Qingfeng Chen, Chengqi Zhang, Shirui Pan:
ARC: A Generalist Graph Anomaly Detector with In-Context Learning. CoRR abs/2405.16771 (2024) - [i20]Yili Wang, Yixin Liu, Xu Shen, Chenyu Li, Kaize Ding, Rui Miao, Ying Wang, Shirui Pan, Xin Wang:
Unifying Unsupervised Graph-Level Anomaly Detection and Out-of-Distribution Detection: A Benchmark. CoRR abs/2406.15523 (2024) - [i19]Yixin Liu, Thalaiyasingam Ajanthan, Hisham Husain, Vu Nguyen:
Self-Supervision Improves Diffusion Models for Tabular Data Imputation. CoRR abs/2407.18013 (2024) - [i18]Shiyuan Li, Yixin Liu, Qingfeng Chen, Geoffrey I. Webb, Shirui Pan:
Noise-Resilient Unsupervised Graph Representation Learning via Multi-Hop Feature Quality Estimation. CoRR abs/2407.19944 (2024) - 2023
- [j5]Yixin Liu, Ming Jin
Graph Self-Supervised Learning: A Survey. IEEE Trans. Knowl. Data Eng. 35(6): 5879-5900 (2023) - [j4]Yixin Liu, Shirui Pan
Anomaly Detection in Dynamic Graphs via Transformer. IEEE Trans. Knowl. Data Eng. 35(12): 12081-12094 (2023) - [j3]Yu Zheng
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35(12): 12220-12233 (2023) - [c8]Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan:
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. AAAI 2023: 4516-4524 - [c7]Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. AAAI 2023: 9953-9961 - [c6]Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan:
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. ICDM 2023: 1253-1258 - [c5]Yixin Liu
Learning Strong Graph Neural Networks with Weak Information. KDD 2023: 1559-1571 - [c4]Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li, Leo Yu Zhang, Shirui Pan:
Towards Self-Interpretable Graph-Level Anomaly Detection. NeurIPS 2023 - [c3]Yixin Liu
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. WSDM 2023: 339-347 - [i17]Kai Zhang, Jun Yu, Zhiling Yan, Yixin Liu, Eashan Adhikarla
BiomedGPT: A Unified and Generalist Biomedical Generative Pre-trained Transformer for Vision, Language, and Multimodal Tasks. CoRR abs/2305.17100 (2023) - [i16]Yixin Liu, Kaize Ding, Jianling Wang, Vincent C. S. Lee, Huan Liu, Shirui Pan:
Learning Strong Graph Neural Networks with Weak Information. CoRR abs/2305.18457 (2023) - [i15]Xin Zheng, Yixin Liu, Zhifeng Bao, Meng Fang, Xia Hu, Alan Wee-Chung Liew, Shirui Pan:
Towards Data-centric Graph Machine Learning: Review and Outlook. CoRR abs/2309.10979 (2023) - [i14]Shirui Pan, Yizhen Zheng, Yixin Liu:
Integrating Graphs with Large Language Models: Methods and Prospects. CoRR abs/2310.05499 (2023) - [i13]Junjun Pan, Yixin Liu, Yizhen Zheng, Shirui Pan:
PREM: A Simple Yet Effective Approach for Node-Level Graph Anomaly Detection. CoRR abs/2310.11676 (2023) - [i12]Yixin Liu, Kaize Ding, Qinghua Lu, Fuyi Li
Towards Self-Interpretable Graph-Level Anomaly Detection. CoRR abs/2310.16520 (2023) - 2022
- [j2]Yixin Liu, Zhao Li
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. IEEE Trans. Neural Networks Learn. Syst. 33(6): 2378-2392 (2022) - [j1]Zhao Li
Cyclic label propagation for graph semi-supervised learning. World Wide Web 25(2): 703-721 (2022) - [c2]Yixin Liu, Yu Zheng
Towards Unsupervised Deep Graph Structure Learning. WWW 2022: 1392-1403 - [i11]Yixin Liu, Yu Zheng, Daokun Zhang, Hongxu Chen, Hao Peng, Shirui Pan:
Towards Unsupervised Deep Graph Structure Learning. CoRR abs/2201.06367 (2022) - [i10]Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Shirui Pan, Yi-Ping Phoebe Chen
From Unsupervised to Few-shot Graph Anomaly Detection: A Multi-scale Contrastive Learning Approach. CoRR abs/2202.05525 (2022) - [i9]Xin Zheng, Yixin Liu, Shirui Pan, Miao Zhang, Di Jin, Philip S. Yu:
Graph Neural Networks for Graphs with Heterophily: A Survey. CoRR abs/2202.07082 (2022) - [i8]Yixin Liu, Kaize Ding, Huan Liu, Shirui Pan:
GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection. CoRR abs/2211.04208 (2022) - [i7]Yue Tan, Yixin Liu, Guodong Long, Jing Jiang, Qinghua Lu, Chengqi Zhang:
Federated Learning on Non-IID Graphs via Structural Knowledge Sharing. CoRR abs/2211.13009 (2022) - [i6]Yixin Liu, Yizhen Zheng, Daokun Zhang, Vincent C. S. Lee, Shirui Pan:
Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating. CoRR abs/2211.14065 (2022) - 2021
- [c1]Ming Jin, Yixin Liu, Yu Zheng
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. CIKM 2021: 3122-3126 - [i5]Yixin Liu, Shirui Pan, Ming Jin
Graph Self-Supervised Learning: A Survey. CoRR abs/2103.00111 (2021) - [i4]Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis:
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. CoRR abs/2103.00113 (2021) - [i3]Yixin Liu, Shirui Pan, Yu Guang Wang, Fei Xiong, Liang Wang, Vincent C. S. Lee:
Anomaly Detection in Dynamic Graphs via Transformer. CoRR abs/2106.09876 (2021) - [i2]Yu Zheng, Ming Jin, Yixin Liu, Lianhua Chi, Khoa Tran Phan, Yi-Ping Phoebe Chen
Generative and Contrastive Self-Supervised Learning for Graph Anomaly Detection. CoRR abs/2108.09896 (2021) - 2020
- [i1]Zhao Li, Yixin Liu, Zhen Zhang, Shirui Pan, Jianliang Gao, Jiajun Bu:
Cyclic Label Propagation for Graph Semi-supervised Learning. CoRR abs/2011.11860 (2020)
Coauthor Index
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