Fairness in Graph Mining: A Survey

Yushun Dong, Jing Ma, Song Wang, +2

IEEE Transactions on Knowledge and Data Engineering

Graph Mining AlgorithmsEngineeringNetwork AnalysisGraph MiningComputational Social Science +16

Task-Adaptive Few-shot Node Classification

Song Wang, Kaize Ding, Chuxu Zhang, +2

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Few-shot LearningGraph Neural NetworksMachine VisionMachine LearningData Science +12

Federated Few-shot Learning

Song Wang, Xingbo Fu, Kaize Ding, +3

Artificial IntelligenceFew-shot LearningEngineeringMachine LearningData Science +12

REFORM

Song Wang, Xiao Huang, Chen Chen, +2

Natural Language ProcessingTraining TriplesEngineeringInformation RetrievalKnowledge Extraction +12

On Structural Explanation of Bias in Graph Neural Networks

Yushun Dong, Song Wang, Yu Wang, +2

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Artificial IntelligenceEngineeringMachine LearningNetwork AnalysisGraph Signal Processing +15

Contrastive Meta-Learning for Few-shot Node Classification

Song Wang, Zhen Tan, Huan Liu, +1

Artificial IntelligenceFew-shot LearningMeta-learning (Computer Science)EngineeringMachine Learning +15

Few-shot Node Classification with Extremely Weak Supervision

Song Wang, Yushun Dong, Kaize Ding, +2

Artificial IntelligenceFew-shot LearningEngineeringMachine LearningMeta-learning +14

Knowledge Graph-Enhanced Large Language Models via Path Selection

Haochen Liu, Song Wang, Yaochen Zhu, +2

FAITH: Few-Shot Graph Classification with Hierarchical Task Graphs

Song Wang, Yushun Dong, Xiao Huang, +2

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence