Yuan Fang 0001 - researchr alias

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Viewing Publication 1 - 37 from 37

2024

HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt LearningXingtong Yu, Yuan Fang 0001, Zemin Liu, Xinming Zhang 0001. AAAI 2024: 16578-16586 [doi]

2023

Graph Contrastive Learning with Stable and Scalable Spectral EncodingDeyu Bo, Yuan Fang 0001, Yang Liu, Chuan Shi. nips 2023: [doi]

Dynamic Meta-path Guided Temporal Heterogeneous Graph Neural NetworksYugang Ji, Chuan Shi, Yuan Fang 0001. wsarai, 1, 2023. [doi]

Neighbor-Anchoring Adversarial Graph Neural NetworksZemin Liu, Yuan Fang 0001, Yong Liu 0020, Vincent W. Zheng. tkde, 35(1):784-795, 2023. [doi]

On Generalized Degree Fairness in Graph Neural NetworksZemin Liu, Trung-Kien Nguyen, Yuan Fang 0001. AAAI 2023: 4525-4533 [doi]

GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural NetworksZemin Liu, Xingtong Yu, Yuan Fang 0001, Xinming Zhang 0001. WWW 2023: 417-428 [doi]

Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive RecommendationZhongzhou Liu, Yuan Fang 0001, Min Wu 0008. tois, 41(3), 2023. [doi]

Dual-View Preference Learning for Adaptive RecommendationZhongzhou Liu, Yuan Fang 0001, Min Wu 0008. tkde, 35(11):11316-11327, November 2023. [doi]

Estimating Propensity for Causality-based Recommendation without Exposure DataZhongzhou Liu, Yuan Fang 0001, Min Wu 0008. nips 2023: [doi]

Link Prediction on Latent Heterogeneous GraphsTrung-Kien Nguyen, Zemin Liu, Yuan Fang 0001. WWW 2023: 263-273 [doi]

Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and PromptingZhihao Wen, Yuan Fang 0001. sigir 2023: 506-516 [doi]

Learning to Count Isomorphisms with Graph Neural NetworksXingtong Yu, Zemin Liu, Yuan Fang 0001, Xinming Zhang 0001. AAAI 2023: 4845-4853 [doi]

Unified and Incremental SimRank: Index-Free Approximation With Scheduled PrincipleFanwei Zhu, Yuan Fang 0001, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu. tkde, 35(3):3195-3210, March 2023. [doi]

2022

On Size-Oriented Long-Tailed Graph Classification of Graph Neural NetworksZemin Liu, Qiheng Mao, Chenghao Liu, Yuan Fang 0001, Jianling Sun. WWW 2022: 1506-1516 [doi]

Neighbor-Anchoring Adversarial Graph Neural Networks (Extended Abstract)Zemin Liu, Yuan Fang 0001, Yong Liu, Vincent W. Zheng. icde 2022: 1571-1572 [doi]

Pre-training graph neural networks for link prediction in biomedical networksYahui Long, Min Wu 0008, Yong Liu 0020, Yuan Fang 0001, Chee-Keong Kwoh 0001, Jinmiao Chen, Jiawei Luo 0001, Xiaoli Li 0001. bioinformatics, 38(8):2254-2262, 2022. [doi]

TREND: TempoRal Event and Node Dynamics for Graph Representation LearningZhihao Wen, Yuan Fang 0001. WWW 2022: 1159-1169 [doi]

mg2vec: Learning Relationship-Preserving Heterogeneous Graph Representations via Metagraph EmbeddingWentao Zhang, Yuan Fang 0001, Zemin Liu, Min Wu 0008, Xinming Zhang 0001. tkde, 34(3):1317-1329, 2022. [doi]

Unified and Incremental SimRank: Index-free Approximation with Scheduled Principle (Extended Abstract)Fanwei Zhu, Yuan Fang 0001, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu. icde 2022: 1569-1570 [doi]

2021

Metagraph-Based Learning on Heterogeneous GraphsYuan Fang 0001, Wenqing Lin, Vincent W. Zheng, Min Wu 0008, Jiaqi Shi, Kevin Chen-Chuan Chang, Xiaoli Li 0001. tkde, 33(1):154-168, 2021. [doi]

Recent advances in network-based methods for disease gene predictionSezin Kircali Ata, Min Wu 0008, Yuan Fang 0001, Le Ou-Yang, Chee-Keong Kwoh 0001, Xiaoli Li 0001. bib, 22(4), 2021. [doi]

Multi-View Collaborative Network EmbeddingSezin Kircali Ata, Yuan Fang 0001, Min Wu 0008, Jiaqi Shi, Chee-Keong Kwoh 0001, Xiaoli Li 0001. tkdd, 15(3), 2021. [doi]

Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-EncoderZhifeng Hao, Di Wu, Yuan Fang 0001, Min Wu 0008, Ruichu Cai, Xiaoli Li 0001. titb, 25(10):4041-4051, 2021. [doi]

Accelerating Large-Scale Heterogeneous Interaction Graph Embedding Learning via Importance SamplingYugang Ji, Mingyang Yin, Hongxia Yang, Jingren Zhou, Vincent W. Zheng, Chuan Shi, Yuan Fang 0001. tkdd, 15(1), 2021. [doi]

Dynamic Heterogeneous Graph Embedding via Heterogeneous Hawkes ProcessYugang Ji, Tianrui Jia, Yuan Fang 0001, Chuan Shi. pkdd 2021: 388-403 [doi]

Contrastive Pre-Training of GNNs on Heterogeneous GraphsXunqiang Jiang, Yuanfu Lu, Yuan Fang 0001, Chuan Shi. CIKM 2021: 803-812 [doi]

Relative and Absolute Location Embedding for Few-Shot Node Classification on GraphZemin Liu, Yuan Fang 0001, Chenghao Liu, Steven C. H. Hoi. AAAI 2021: 4267-4275 [doi]

Tail-GNN: Tail-Node Graph Neural NetworksZemin Liu, Trung-Kien Nguyen, Yuan Fang 0001. kdd 2021: 1109-1119 [doi]

Node-wise Localization of Graph Neural NetworksZemin Liu, Yuan Fang 0001, Chenghao Liu, Steven C. H. Hoi. IJCAI 2021: 1520-1526 [doi]

Learning to Pre-train Graph Neural NetworksYuanfu Lu, Xunqiang Jiang, Yuan Fang 0001, Chuan Shi. AAAI 2021: 4276-4284 [doi]

Meta-Inductive Node Classification across GraphsZhihao Wen, Yuan Fang 0001, Zemin Liu. sigir 2021: 1219-1228 [doi]

2020

2014

Walking forward and backward: towards graph-based searching and miningYuan Fang 0001. PhD thesis, University of Illinois Urbana-Champaign, USA, 2014. [doi]

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