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Song Wang 0013
王淞
Person information
- unicode name: 王淞
- affiliation: University of Virginia, Charlottesville, VA, USA
Other persons with the same name
- Song Wang — disambiguation page
- Song Wang 0001 — Hewlett-Packard Laboratories, Palo Alto, CA, USA (and 1 more)
- Song Wang 0002
— University of South Carolina, Department of Computer Science and Engineering, Columbia, SC, USA (and 1 more)
- Song Wang 0003
- Song Wang 0004
- Song Wang 0005
- Song Wang 0006
- Song Wang 0007 — Fujitsu R&D Center, Beijing, China
- Song Wang 0008
- Song Wang 0009
- Song Wang 0010
- Song Wang 0011 — Wuhan University, School of Computer Science, National Engineering Research Center for Multimedia Software, China
- Song Wang 0012 — Microsoft Azure
- Song Wang 0014
- Song Wang 0015
- Song Wang 0016
- Song Wang 0017
- Song Wang 0018
- Song Wang 0019
- Song Wang 0020
- Song Wang 0021
- Song Wang 0022
- Song Wang 0023
- Song Wang 0024
- Song Wang 0025
- Song Wang 0026
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2020 – today
- 2026
- [j11]Kexin Zhang
A Survey of Deep Graph Learning under Distribution Shifts: From Graph Out-of-Distribution Generalization to Adaptation. ACM Trans. Knowl. Discov. Data 20(2): 31:1-31:38 (2026) - [j10]Song Wang
Safety in Graph Machine Learning: Threats and Safeguards. IEEE Trans. Knowl. Data Eng. 38(4): 2408-2428 (2026) - [j9]Song Wang, Chris Tennant, Jundong Li:
Explainable Graph Learning for Particle Accelerator Operations. Trans. Mach. Learn. Res. 2026 (2026) - [c45]Zhen Tan
Explaining the 'Unexplainable' Large Language Models. WSDM 2026: 1371-1373 - [i58]Zhenyu Lei, Aiying Zhang, Song Wang, Han Fan, Jundong Li:
BrainTAP: Brain Disorder Prediction with Adaptive Distill and Selective Prior Integration. CoRR abs/2602.09294 (2026) - [i57]Junhong Lin, Bing Zhang, Song Wang, Ziyan Liu, Dan Gutfreund, Julian Shun, Yada Zhu:
How Much Reasoning Do Retrieval-Augmented Models Add beyond LLMs? A Benchmarking Framework for Multi-Hop Inference over Hybrid Knowledge. CoRR abs/2602.10210 (2026) - [i56]Shuang Zhou, Kai Yu, Song Wang, Wenya Xie, Zaifu Zhan, Meng-Han Tsai, Yuen-Hei Chung, Shutong Hou, Huixue Zhou, Min Zeng, Bhavadharini Ramu, Lin Yee Chen, Feng Xie, Rui Zhang:
HeartAgent: An Autonomous Agent System for Explainable Differential Diagnosis in Cardiology. CoRR abs/2603.10764 (2026) - [i55]Zhen Tan, Chengshuai Zhao, Song Wang, Jundong Li, Tianlong Chen, Huan Liu:
Probing to Refine: Reinforcement Distillation of LLMs via Explanatory Inversion. CoRR abs/2603.19266 (2026) - 2025
- [j8]Song Wang
Knowledge Editing for Large Language Models: A Survey. ACM Comput. Surv. 57(3): 59:1-59:37 (2025) - [j7]Yuxi Liu
A natural language processing-based approach for early detection of heart failure onset using electronic health records. Knowl. Based Syst. 327: 114102 (2025) - [j6]Shuang Zhou, Jiashuo Wang
Uncertainty-aware large language models for explainable disease diagnosis. npj Digit. Medicine 8(1) (2025) - [j5]Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li:
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs. Trans. Mach. Learn. Res. 2025 (2025) - [c44]Yiming Xu
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. AAAI 2025: 12972-12980 - [c43]Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li:
BrainMAP: Learning Multiple Activation Pathways in Brain Networks. AAAI 2025: 14432-14440 - [c42]Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li:
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. AAAI 2025: 16657-16665 - [c41]Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu:
Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach. AAAI 2025: 25237-25245 - [c40]Haochen Liu, Song Wang, Chen Chen, Jundong Li:
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models. ACL (Findings) 2025: 1388-1400 - [c39]Song Wang
GraphRCG: Self-Conditioned Graph Generation. CIKM 2025: 3060-3070 - [c38]Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong:
Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. ECAI 2025: 2706-2713 - [c37]Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li:
Learning from Diverse Reasoning Paths with Routing and Collaboration. EMNLP 2025: 2832-2845 - [c36]Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhenyu Lei, Cong Shen, Jun-Dong Li:
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning. EMNLP (Findings) 2025: 3395-3410 - [c35]Song Wang, Zhen Tan, Zihan Chen, Shuang Zhou, Tianlong Chen, Jundong Li:
AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. EMNLP 2025: 11555-11567 - [c34]Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li:
Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation. EMNLP 2025: 11615-11631 - [c33]Zaiyi Zheng, Song Wang, Zihan Chen, Yaochen Zhu, Yinhan He, Liangjie Hong, Qi Guo, Jundong Li:
CoRAG: Enhancing Hybrid Retrieval-Augmented Generation through a Cooperative Retriever Architecture. EMNLP (Findings) 2025: 16088-16101 - [c32]Song Wang, Jundong Li:
Dynamic, Efficient, and Generalizable Multi-Agent Communication for Large Language Models. ICDM (Workshops) 2025: 2488-2491 - [c31]Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li:
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective. ICLR 2025 - [c30]Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu:
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations. ICLR 2025 - [c29]Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li:
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. ICLR 2025 - [c28]Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen:
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning. ICML 2025 - [c27]Zhen Tan, Lu Cheng, Song Wang, Bo Yuan, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks (Extended Abstract). IJCAI 2025: 10942-10946 - [c26]Yushun Dong, Song Wang
Fairness-Aware Graph Learning: A Benchmark. KDD (2) 2025: 5402-5412 - [c25]Yinhan He
Demystify Epidemic Containment in Directed Networks: Theory and Algorithms. WSDM 2025: 905-913 - [i54]Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li:
KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models. CoRR abs/2501.02711 (2025) - [i53]Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Mingliang Xu, Jundong Li, Yiwei Cai:
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. CoRR abs/2501.04102 (2025) - [i52]Song Wang, Zhen Tan, Yaochen Zhu, Chuxu Zhang, Jundong Li:
Generative Risk Minimization for Out-of-Distribution Generalization on Graphs. CoRR abs/2502.07968 (2025) - [i51]Song Wang, Junhong Lin, Xiaojie Guo, Julian Shun, Jundong Li, Yada Zhu:
Reasoning of Large Language Models over Knowledge Graphs with Super-Relations. CoRR abs/2503.22166 (2025) - [i50]Haochen Liu, Song Wang, Chen Chen, Jundong Li:
Question-Aware Knowledge Graph Prompting for Enhancing Large Language Models. CoRR abs/2503.23523 (2025) - [i49]Zihan Chen, Song Wang, Zhen Tan, Xingbo Fu, Zhen Lei, Peng Wang, Huan Liu, Cong Shen, Jundong Li:
A Survey of Scaling in Large Language Model Reasoning. CoRR abs/2504.02181 (2025) - [i48]Zhen Tan, Song Wang, Yifan Li, Yu Kong, Jundong Li, Tianlong Chen, Huan Liu:
Are We Merely Justifying Results ex Post Facto? Quantifying Explanatory Inversion in Post-Hoc Model Explanations. CoRR abs/2504.08919 (2025) - [i47]Huaizhi Qu, Inyoung Choi, Zhen Tan, Song Wang, Sukwon Yun, Qi Long, Faizan Siddiqui, Kwonjoon Lee, Tian-Long Chen:
Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer. CoRR abs/2504.12589 (2025) - [i46]Shuang Zhou, Jiashuo Wang, Zidu Xu, Song Wang, David Brauer
Uncertainty-Aware Large Language Models for Explainable Disease Diagnosis. CoRR abs/2505.03467 (2025) - [i45]Junhong Lin, Xinyue Zeng, Jie Zhu, Song Wang, Julian Shun, Jun Wu, Dawei Zhou:
Plan and Budget: Effective and Efficient Test-Time Scaling on Large Language Model Reasoning. CoRR abs/2505.16122 (2025) - [i44]Zihan Chen, Song Wang, Zhen Tan, Jundong Li, Cong Shen:
MAPLE: Many-Shot Adaptive Pseudo-Labeling for In-Context Learning. CoRR abs/2505.16225 (2025) - [i43]Ruichen Zhang, Rana Muhammad Shahroz Khan, Zhen Tan, Dawei Li, Song Wang, Tianlong Chen:
The Quest for Efficient Reasoning: A Data-Centric Benchmark to CoT Distillation. CoRR abs/2505.18759 (2025) - [i42]Song Wang
AnyMAC: Cascading Flexible Multi-Agent Collaboration via Next-Agent Prediction. CoRR abs/2506.17784 (2025) - [i41]Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen:
Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. CoRR abs/2507.14677 (2025) - [i40]Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong:
Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. CoRR abs/2508.00513 (2025) - [i39]Zhenyu Lei, Zhen Tan, Song Wang, Yaochen Zhu, Zihan Chen, Yushun Dong, Jundong Li:
Learning from Diverse Reasoning Paths with Routing and Collaboration. CoRR abs/2508.16861 (2025) - [i38]Junhong Lin, Song Wang, Xiaojie Guo, Julian Shun, Yada Zhu:
Temporal Reasoning with Large Language Models Augmented by Evolving Knowledge Graphs. CoRR abs/2509.15464 (2025) - [i37]Song Wang, Zhenyu Lei, Zhen Tan, Jundong Li, Javier Rasero, Aiying Zhang, Chirag Agarwal:
Interpretable Neuropsychiatric Diagnosis via Concept-Guided Graph Neural Networks. CoRR abs/2510.03351 (2025) - [i36]Xu Shen, Song Wang, Zhen Tan, Laura Yao, Xinyu Zhao, Kaidi Xu, Xin Wang, Tianlong Chen:
FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning. CoRR abs/2510.04040 (2025) - [i35]Tianyu Hu, Zhen Tan, Song Wang
Multi-Agent Debate for LLM Judges with Adaptive Stability Detection. CoRR abs/2510.12697 (2025) - [i34]Xu Shen, Qi Zhang, Song Wang, Zhen Tan, Xinyu Zhao, Laura Yao, Vaishnav Tadiparthi, Hossein Nourkhiz Mahjoub, Ehsan Moradi-Pari, Kwonjoon Lee, Tianlong Chen:
Metacognitive Self-Correction for Multi-Agent System via Prototype-Guided Next-Execution Reconstruction. CoRR abs/2510.14319 (2025) - [i33]Zihan Chen, Song Wang, Xingbo Fu, Chengshuai Shi, Zhen Lei, Cong Shen, Jundong Li:
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning. CoRR abs/2510.24528 (2025) - [i32]Song Wang, Zihan Chen, Peng Wang, Zhepei Wei, Zhen Tan, Yu Meng, Cong Shen, Jundong Li:
Separate the Wheat from the Chaff: Winnowing Down Divergent Views in Retrieval Augmented Generation. CoRR abs/2511.04700 (2025) - [i31]Zhen Xu, Zhen Tan, Song Wang, Kaidi Xu, Tianlong Chen:
Beyond Redundancy: Diverse and Specialized Multi-Expert Sparse Autoencoder. CoRR abs/2511.05745 (2025) - [i30]Dawei Li, Zijian Gu, Peng Wang, Chuhan Song, Zhen Tan, Mohan Zhang, Tianlong Chen, Yu Tian, Song Wang:
Fairness in Multi-modal Medical Diagnosis with Demonstration Selection. CoRR abs/2511.15986 (2025) - 2024
- [j4]Song Wang, Chris Tennant, Daniel Moser, Theo Larrieu, Jundong Li:
Graph learning for particle accelerator operations. Frontiers Big Data 7 (2024) - [j3]Song Wang
Learning Hierarchical Task Structures for Few-shot Graph Classification. ACM Trans. Knowl. Discov. Data 18(3): 67:1-67:20 (2024) - [j2]Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li:
Federated Graph Learning with Graphless Clients. Trans. Mach. Learn. Res. 2024 (2024) - [c24]Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li:
Knowledge Graph-Enhanced Large Language Models via Path Selection. ACL (Findings) 2024: 6311-6321 - [c23]Zihan Chen, Song Wang, Cong Shen, Jundong Li:
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. ACL (Findings) 2024: 9764-9780 - [c22]Zaiyi Zheng, Yushun Dong, Song Wang, Haochen Liu, Qi Wang, Jundong Li:
KG-CF: Knowledge Graph Completion with Context Filtering under the Guidance of Large Language Models. IEEE Big Data 2024: 805-810 - [c21]Yaochen Zhu
Understanding and Modeling Job Marketplace with Pretrained Language Models. CIKM 2024: 5143-5150 - [c20]Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu:
Large Language Models for Data Annotation and Synthesis: A Survey. EMNLP 2024: 930-957 - [c19]Zhen Tan, Chengshuai Zhao, Raha Moraffah
Glue pizza and eat rocks - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. EMNLP 2024: 1610-1626 - [c18]Song Wang, Xiaodong Yang, Rashidul Islam, Huiyuan Chen, Minghua Xu, Jundong Li, Yiwei Cai:
Enhancing Distribution and Label Consistency for Graph Out-of-Distribution Generalization. ICDM 2024: 875-880 - [c17]Haochen Liu, Song Wang, Chen Chen, Jundong Li:
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. NAACL-HLT 2024: 3346-3356 - [c16]Song Wang, Zihan Chen, Chengshuai Shi, Cong Shen, Jundong Li:
Mixture of Demonstrations for In-Context Learning. NeurIPS 2024 - [c15]Zhen Tan
Interpreting Pretrained Language Models via Concept Bottlenecks. PAKDD (3) 2024: 56-74 - [c14]Yushun Dong
PyGDebias: A Python Library for Debiasing in Graph Learning. WWW (Companion Volume) 2024: 1019-1022 - [i29]Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu:
Large Language Models for Data Annotation: A Survey. CoRR abs/2402.13446 (2024) - [i28]Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li:
GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations. CoRR abs/2403.01071 (2024) - [i27]Song Wang, Yushun Dong, Binchi Zhang
Safety in Graph Machine Learning: Threats and Safeguards. CoRR abs/2405.11034 (2024) - [i26]Zihan Chen, Song Wang, Cong Shen, Jundong Li:
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. CoRR abs/2406.03730 (2024) - [i25]Haochen Liu, Song Wang, Yaochen Zhu, Yushun Dong, Jundong Li:
Knowledge Graph-Enhanced Large Language Models via Path Selection. CoRR abs/2406.13862 (2024) - [i24]Haochen Liu, Song Wang, Chen Chen, Jundong Li:
Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation. CoRR abs/2406.15507 (2024) - [i23]Zhen Tan, Chengshuai Zhao, Raha Moraffah
"Glue pizza and eat rocks" - Exploiting Vulnerabilities in Retrieval-Augmented Generative Models. CoRR abs/2406.19417 (2024) - [i22]Song Wang, Peng Wang, Tong Zhou, Yushun Dong, Zhen Tan, Jundong Li:
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models. CoRR abs/2407.02408 (2024) - [i21]Yushun Dong, Song Wang, Zhenyu Lei, Zaiyi Zheng, Jing Ma, Chen Chen, Jundong Li:
A Benchmark for Fairness-Aware Graph Learning. CoRR abs/2407.12112 (2024) - [i20]Yaochen Zhu, Liang Wu, Binchi Zhang, Song Wang, Qi Guo, Liangjie Hong, Luke Simon, Jundong Li:
Understanding and Modeling Job Marketplace with Pretrained Language Models. CoRR abs/2408.04381 (2024) - [i19]Kexin Zhang, Shuhan Liu, Song Wang, Weili Shi, Chen Chen, Pan Li, Sheng Li, Jundong Li, Kaize Ding:
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation. CoRR abs/2410.19265 (2024) - [i18]Xingbo Fu, Song Wang, Yushun Dong, Binchi Zhang, Chen Chen, Jundong Li:
Federated Graph Learning with Graphless Clients. CoRR abs/2411.08374 (2024) - [i17]Yushun Dong, Patrick Soga, Yinhan He, Song Wang, Jundong Li:
Graph Neural Networks Are More Than Filters: Revisiting and Benchmarking from A Spectral Perspective. CoRR abs/2412.07188 (2024) - [i16]Song Wang, Zhenyu Lei, Zhen Tan, Jiaqi Ding, Xinyu Zhao, Yushun Dong, Guorong Wu, Tianlong Chen, Chen Chen, Aiying Zhang, Jundong Li:
BrainMAP: Learning Multiple Activation Pathways in Brain Networks. CoRR abs/2412.17404 (2024) - [i15]Xingbo Fu, Zihan Chen, Yinhan He, Song Wang, Binchi Zhang, Chen Chen, Jundong Li:
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning. CoRR abs/2412.19229 (2024) - 2023
- [j1]Yushun Dong
Fairness in Graph Mining: A Survey. IEEE Trans. Knowl. Data Eng. 35(10): 10583-10602 (2023) - [c13]Yushun Dong, Song Wang, Jing Ma
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. AAAI 2023: 7441-7449 - [c12]Song Wang, Jundong Li:
Generative Few-shot Graph Classification: An Adaptive Perspective. ACSSC 2023: 317-321 - [c11]Song Wang
Fair Few-Shot Learning with Auxiliary Sets. ECAI 2023: 2517-2524 - [c10]Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li:
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. EMNLP (Findings) 2023: 12528-12540 - [c9]Song Wang
Federated Few-shot Learning. KDD 2023: 2374-2385 - [c8]Song Wang
Contrastive Meta-Learning for Few-shot Node Classification. KDD 2023: 2386-2397 - [c7]Song Wang
Few-shot Node Classification with Extremely Weak Supervision. WSDM 2023: 276-284 - [i14]Song Wang, Yushun Dong, Kaize Ding, Chen Chen, Jundong Li:
Few-shot Node Classification with Extremely Weak Supervision. CoRR abs/2301.02708 (2023) - [i13]Song Wang, Xingbo Fu, Kaize Ding, Chen Chen, Huiyuan Chen, Jundong Li:
Federated Few-shot Learning. CoRR abs/2306.10234 (2023) - [i12]Song Wang, Zhen Tan, Huan Liu, Jundong Li:
Contrastive Meta-Learning for Few-shot Node Classification. CoRR abs/2306.15154 (2023) - [i11]Song Wang, Jing Ma, Lu Cheng, Jundong Li:
Fair Few-shot Learning with Auxiliary Sets. CoRR abs/2308.14338 (2023) - [i10]Gregory Holste, Yiliang Zhou, Song Wang
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge. CoRR abs/2310.16112 (2023) - [i9]Song Wang, Yaochen Zhu, Haochen Liu, Zaiyi Zheng, Chen Chen, Jundong Li:
Knowledge Editing for Large Language Models: A Survey. CoRR abs/2310.16218 (2023) - [i8]Song Wang, Zhen Tan, Ruocheng Guo, Jundong Li:
Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance. CoRR abs/2311.01108 (2023) - [i7]Zhen Tan, Lu Cheng, Song Wang, Yuan Bo, Jundong Li, Huan Liu:
Interpreting Pretrained Language Models via Concept Bottlenecks. CoRR abs/2311.05014 (2023) - 2022
- [c6]Song Wang, Yushun Dong, Xiao Huang, Chen Chen
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. IJCAI 2022: 2284-2290 - [c5]Yushun Dong, Song Wang, Yu Wang, Tyler Derr
On Structural Explanation of Bias in Graph Neural Networks. KDD 2022: 316-326 - [c4]Song Wang, Kaize Ding
Task-Adaptive Few-shot Node Classification. KDD 2022: 1910-1919 - [c3]Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. LoG 2022: 4 - [c2]Song Wang, Chen Chen, Jundong Li:
Graph Few-shot Learning with Task-specific Structures. NeurIPS 2022 - [i6]Song Wang, Yushun Dong, Xiao Huang
FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs. CoRR abs/2205.02435 (2022) - [i5]Song Wang, Kaize Ding, Chuxu Zhang, Chen Chen, Jundong Li:
Task-Adaptive Few-shot Node Classification. CoRR abs/2206.11972 (2022) - [i4]Yushun Dong, Song Wang, Yu Wang, Tyler Derr, Jundong Li:
On Structural Explanation of Bias in Graph Neural Networks. CoRR abs/2206.12104 (2022) - [i3]Song Wang, Chen Chen, Jundong Li:
Graph Few-shot Learning with Task-specific Structures. CoRR abs/2210.12130 (2022) - [i2]Yushun Dong, Song Wang, Jing Ma, Ninghao Liu, Jundong Li:
Interpreting Unfairness in Graph Neural Networks via Training Node Attribution. CoRR abs/2211.14383 (2022) - [i1]Zhen Tan, Song Wang, Kaize Ding, Jundong Li, Huan Liu:
Transductive Linear Probing: A Novel Framework for Few-Shot Node Classification. CoRR abs/2212.05606 (2022) - 2021
- [c1]Song Wang, Xiao Huang
REFORM: Error-Aware Few-Shot Knowledge Graph Completion. CIKM 2021: 1979-1988
Coauthor Index
Jundong Li
aka: Jun-Dong Li
aka: Jun-Dong Li
[j11] [j10] [j9] [c45] [i58] [i55] [j8] [j5] [c43] [c42] [c40] [c39] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i44] [i42] [i39] [i37] [i33] [i32] [j4] [j3] [j2] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [j1] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [i14] [i13] [i12] [i11] [i9] [i8] [i7] [c6] [c5] [c4] [c3] [c2] [i6] [i5] [i4] [i3] [i2] [i1] [c1]
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