Next-item Recommendation with Sequential Hypergraphs

Jianling Wang, Kaize Ding, Liangjie Hong, +2

EngineeringMachine LearningInformation RetrievalData ScienceData Mining +16

Be More with Less: Hypergraph Attention Networks for Inductive Text Classification

Kaize Ding, Jianling Wang, Jundong Li, +2

Data Augmentation for Deep Graph Learning

Kaize Ding, Zhe Xu, Hanghang Tong, +1

ACM SIGKDD Explorations Newsletter

Geometric LearningData AugmentationGraph Neural NetworksEngineeringGraph Theory +8

Combating disinformation in a social media age

Kai Shu, Amrita Bhattacharjee, Faisal Alatawi, +4

Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery

DisinformationFake NewsMedia StudiesSocial MediaEngineering +13

Interactive Anomaly Detection on Attributed Networks

Kaize Ding, Jundong Li, Huan Liu

Artificial IntelligenceAnomaly DetectionMachine LearningEngineeringNetwork Analysis +17

Few-shot Network Anomaly Detection via Cross-network Meta-learning

Kaize Ding, Qinghai Zhou, Hanghang Tong, +1

Few-shot LearningAnomaly DetectionMachine LearningData ScienceMeta-learning +12

Inductive Anomaly Detection on Attributed Networks

Kaize Ding, Jundong Li, Nitin Agarwal, +1

Anomaly DetectionMachine LearningEngineeringNetwork AnalysisInformation Forensics +15

Graph Few-shot Learning with Attribute Matching

Ning Wang, Minnan Luo, Kaize Ding, +3

Few-shot LearningData AnnotationEngineeringMachine LearningMeta-learning +15

AdaGNN

Yushun Dong, Kaize Ding, Brian Jalaian, +2

Geometric LearningGraph Neural NetworksGraph Representation LearningGraph TheoryData Science +12

GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection

Yixin Liu, Kaize Ding, Huan Liu, +1

Geometric LearningEngineeringMachine LearningNetwork AnalysisGraph Signal Processing +15