HiFGL: A Hierarchical Framework for Cross-silo Cross-device Federated Graph Learning
Comments Accepted by SIGKDD 2024
期刊&会议
KDD
ACM SIGKDD Conference on Knowledge Discovery and Data Mining · 会议 · Data Mining
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising
Comments Accepted to KDD 2024
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data
Comments Accepted by ACM SIGKDD 2024
DIET: Customized Slimming for Incompatible Networks in Sequential Recommendation
Comments Accepted by KDD 2024
Choosing a Proxy Metric from Past Experiments
Comments To appear in KDD 2024
TACCO: Task-guided Co-clustering of Clinical Concepts and Patient Visits for Disease Subtyping based on EHR Data
Comments 11 pages, 5 figures, to be published in Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
Pre-Training Identification of Graph Winning Tickets in Adaptive Spatial-Temporal Graph Neural Networks
Comments Conference paper, accepted by KDD' 24
Personalized Product Assortment with Real-time 3D Perception and Bayesian Payoff Estimation
Comments Accepted to KDD 2024
How Powerful is Graph Filtering for Recommendation
Comments Accepted to KDD'24
Predicting Cascading Failures with a Hyperparametric Diffusion Model
Comments KDD 2024
Counteracting Duration Bias in Video Recommendation via Counterfactual Watch Time
Comments Accepted by KDD 2024
Learning Metrics that Maximise Power for Accelerated A/B-Tests
Comments To appear in the Applied Data Science track at the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24)
An Efficient Subgraph GNN with Provable Substructure Counting Power
Comments accepted in KDD 2024
A Self-boosted Framework for Calibrated Ranking
Comments KDD 2024
Multivariate Log-based Anomaly Detection for Distributed Database
Comments Accepted by KDD'24
DPSW-Sketch: A Differentially Private Sketch Framework for Frequency Estimation over Sliding Windows (Technical Report)
Comments Accepted for publication at KDD 2024
CAFO: Feature-Centric Explanation on Time Series Classification
Comments Accepted to KDD 2024 Research Track
Graph Condensation for Open-World Graph Learning
Comments Accepted by KDD 2024
Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing
Comments Accepted by KDD 2024
Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs
Comments Accepted by KDD 2024
On (Normalised) Discounted Cumulative Gain as an Off-Policy Evaluation Metric for Top-$n$ Recommendation
Comments To appear in the research track at the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '24)
Low Rank Multi-Dictionary Selection at Scale
Comments Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, August 25--29, 2024, Barcelona, Spain
Hate Speech Detection with Generalizable Target-aware Fairness
Comments To appear in KDD 2024
Popularity-Aware Alignment and Contrast for Mitigating Popularity Bias
Comments Accepted by KDD 2024
Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution Shift
Comments KDD'24 research paper
Modeling User Retention through Generative Flow Networks
Comments KDD-ADS 2024
GraphStorm: all-in-one graph machine learning framework for industry applications
Journal ref KDD 2024
Dataset Condensation for Time Series Classification via Dual Domain Matching
Comments Accepted by KDD 2024 research track
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning
Comments accepted by KDD 2024
Pre-train and Refine: Towards Higher Efficiency in K-Agnostic Community Detection without Quality Degradation
Comments Accepted by ACM KDD 2024
