ACM SIGKDD

0:45:00

Machine Learning Robustness, Fairness, and their Convergence (ACM SIGKDD 2021 Tutorial Part.01)

0:01:22

ACM SIGKDD Student Chapter SRM KTR Board Members

0:02:00

KDD 2024 - A Deep Prediction Framework for Multi Source Information

0:02:00

KDD 2024 - Dynamic Pricing for Multi Retailer Delivery Platforms

0:03:43

Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks (ACM SIGKDD 2019)

0:29:31

Machine Learning Robustness, Fairness, and their Convergence (ACM SIGKDD 2021 Tutorial Part.02)

0:20:56

Jingbo Shang, ACM SIGKDD Dissertation Award Recording

0:01:58

KDD 2023 - Warpformer: A Multi-scale Modeling Approach for Irregular Clinical Time Series

0:02:39

KDD 2024 - Fake News in Sheep's Clothing: Robust Fake News

0:32:15

Machine Learning Robustness, Fairness, and their Convergence (ACM SIGKDD 2021 Tutorial Part.04)

0:01:48

KDD 2024 - FLea Addressing Data Scarcity

0:02:01

KDD 2023 - Densest Diverse Subgraphs: How to Plan a Successful Cocktail Party with Diversity

0:01:58

KDD 2023 - Pyramid Graph Neural Network

0:01:56

KDD 2024 - TSC a Simple Two Sided Constraint

0:37:30

Machine Learning Robustness, Fairness, and their Convergence (ACM SIGKDD 2021 Tutorial Part.03)

0:01:34

KDD 2023 - Finding a Support Subgraph Set for Graph Representation

0:04:03

KDD 2022 GS Closing Session

0:01:55

KDD 2024 - Towards Robust Information Extraction

0:02:07

KDD 2024 - Integrating System State

0:02:00

KDD 2024 - LLM4DyG Can Large Language Models Solve Spatial-Temporal Problems on Dynamic Graphs

0:01:53

KDD 2023 - On-device Integrated Re-ranking with Heterogeneous Behavior Modeling

0:01:59

KDD 2024 - Weather Knows What Will Occur

0:01:51

KDD 2024 - UrbanGPT: Spatio Temporal Large Language Models mp

0:01:58

KDD 2024 - Interpretable Cascading Mixture-of-Experts for Urban Traffic Congestion Prediction