Data Science & Analytics

Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation AAAI 2024 Graph-enhanced Optimizers for Structure-aware Recommendation Embedding Evolution NeurIPS 2024 Graph Neural Flows for Unveiling Systemic Interactions Among Irregularly Sampled Time Series NeurIPS 2024 Graph Pruning for Enumeration of Minimal Unsatisfiable Subsets AISTATS 2024 GRU-M: A Joint Impute and Learn Approach for Sequential Prediction under Missing Data ACML 2024 gSASRec: Reducing Overconfidence in Sequential Recommendation Trained with Negative Sampling (Extended Abstract) IJCAI 2024 G-Transformer: Counterfactual Outcome Prediction under Dynamic and Time-varying Treatment Regimes MLHC 2024 Guiding Sentiment Analysis with Hierarchical Text Clustering: Analyzing the German X/Twitter Discourse on Face Masks in the 2020 COVID-19 Pandemic ACL 2024 Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations AAAI 2024 HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting AAAI 2024 Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain? AAAI 2024 Hidden Population Estimation with Indirect Inference and Auxiliary Information UAI 2024 Hierarchical and Density-based Causal Clustering NeurIPS 2024 Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection AAAI 2024 Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling ICML 2024 Higher-Order Causal Message Passing for Experimentation with Complex Interference NeurIPS 2024 Holistic Features are almost Sufficient for Text-to-Video Retrieval CVPR 2024 Homophily-Related: Adaptive Hybrid Graph Filter for Multi-View Graph Clustering AAAI 2024 How Does Message Passing Improve Collaborative Filtering? NeurIPS 2024 How Does Stereotype Content Differ across Data Sources? NAACL 2024 HyCoRec: Hypergraph-Enhanced Multi-Preference Learning for Alleviating Matthew Effect in Conversational Recommendation ACL 2024 I-AM-G: Interest Augmented Multimodal Generator for Item Personalization EMNLP 2024 Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank ICML 2024 Identifiability of total effects from abstractions of time series causal graphs UAI 2024 Identifying Causal Effects using Instrumental Time Series: Nuisance IV and Correcting for the Past JMLR 2024