KDD 2023 - Generalizing Explanations for Graph Neural Networks with Data Augmentation
KDD 2023 - An Effective Framework for Privacy-Aware Deep Entity Resolution
KDD 2023 - Knowledge Graph Self-Supervised Rationalization for Recommendation
KDD 2023 -Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
KDD 2023 - Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications
KDD 2023 - How to DP-fy ML A Practical Tutorial to Machine Learning with Differential Privacy
KDD 2023 - Revisiting Neural Retrieval on Accelerators
KDD 2023 - Variance Reduction System (VRS)
KDD 2023 - Precursor-of-Anomaly Detection for Irregular Time Series
KDD 2023 - How to robustly detect failures with 3 types of telemetry data?
KDD 2023 - Hyperbolic Graph Neural Networks: A Tutorial on Methods and Applications
KDD 2023 - Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks
KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling
KDD 2023 - VRDU: A Benchmark for Visually-rich Document Understanding
KDD 2023 - On Improving the Cohesiveness Graphs by Merging Nodes: Formulation, Analysis, Algorithms
KDD 2023 - Cognitive Evolutionary Search to Select Feature Interactions
[KDD 2023 Tutorial] Data-centric AI: Techniques and Future Perspectives
KDD 2023 - A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games
KDD 2023 - Feature-Based Coalition Game Framework Privileged Knowledge Transfer User-tag Profile
KDD 2023 - A Look into Causal Effects under Entangled Treatment in Graphs
KDD 2023 - Domain-Specific Risk Minimization for Domain Generalization
KDD 2023 - Text Is All You Need: Learning Language Representations for Sequential Recommendation
KDD 2023 - Hitchhiking Generic Federated Learning - Efficient Shift Robust Personalization
KDD 2023 - Community based Dynamic Graph Representation Learning Method
KDD 2023 - Efficient Bi-Level Optimization for Recommendation Denoising