Bilateral Filtering Graph Convolutional Network for Multi-relational Social Recommendation in the Power-law Networks | 0 | 0.34 | 2022 |
Invariant Preference Learning for General Debiasing in Recommendation | 0 | 0.34 | 2022 |
A Graph Learning Based Framework for Billion-Scale Offline User Identification | 0 | 0.34 | 2022 |
Intention-Aware Sequential Recommendation With Structured Intent Transition | 0 | 0.34 | 2022 |
Dynamic Heterogeneous Information Network Embedding With Meta-Path Based Proximity | 1 | 0.35 | 2022 |
Towards Unsupervised Domain Generalization. | 0 | 0.34 | 2022 |
Counterfactual Prediction for Outcome-Oriented Treatments. | 0 | 0.34 | 2022 |
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization. | 0 | 0.34 | 2022 |
Stable learning establishes some common ground between causal inference and machine learning | 0 | 0.34 | 2022 |
CausPref: Causal Preference Learning for Out-of-Distribution Recommendation | 0 | 0.34 | 2022 |
Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network | 0 | 0.34 | 2022 |
Out-of-distribution Generalization and Its Applications for Multimedia | 0 | 0.34 | 2021 |
Reinforcement Learning With A Disentangled Universal Value Function For Item Recommendation | 0 | 0.34 | 2021 |
Globally Optimized Matchmaking in Online Games | 1 | 0.37 | 2021 |
Towards Non-I.I.D. image classification: A dataset and baselines | 0 | 0.34 | 2021 |
Stable Prediction With Model Misspecification And Agnostic Distribution Shift | 0 | 0.34 | 2020 |
Stable Learning via Differentiated Variable Decorrelation | 1 | 0.37 | 2020 |
Network embedding in biomedical data science. | 10 | 0.52 | 2020 |
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks | 14 | 0.62 | 2020 |
Rule-Guided Compositional Representation Learning On Knowledge Graphs | 0 | 0.34 | 2020 |
Match Tracing: A Unified Framework for Real-time Win Prediction and Quantifiable Performance Evaluation | 2 | 0.40 | 2020 |
Graph Neural Network for Tag Ranking in Tag-enhanced Video Recommendation | 4 | 0.40 | 2020 |
Causal Inference Meets Machine Learning | 0 | 0.34 | 2020 |
Continuous Treatment Effect Estimation via Generative Adversarial De-confounding. | 0 | 0.34 | 2020 |
Calibrated Reliable Regression using Maximum Mean Discrepancy | 0 | 0.34 | 2020 |
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models | 3 | 0.37 | 2020 |
NICO: A Dataset Towards Non-I.I.D. Image Classification. | 0 | 0.34 | 2019 |
Uncovering Pattern Formation of Information Flow | 2 | 0.38 | 2019 |
Robust Graph Convolutional Networks Against Adversarial Attacks | 26 | 0.84 | 2019 |
Disentangled Graph Convolutional Networks | 5 | 0.42 | 2019 |
Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation. | 0 | 0.34 | 2019 |
Dynamical Origins of Distribution Functions | 2 | 0.39 | 2019 |
Tissue Recognition in Spinal Endoscopic Surgery Using Deep Learning | 0 | 0.34 | 2019 |
Incorporating Network Embedding into Markov Random Field for Better Community Detection | 0 | 0.34 | 2019 |
MVAN: Multi-view Attention Networks for Real Money Trading Detection in Online Games | 3 | 0.42 | 2019 |
Causation-Driven Visualizations for Insurance Recommendation | 1 | 0.37 | 2019 |
AutoNE: Hyperparameter Optimization for Massive Network Embedding | 5 | 0.44 | 2019 |
Learning From Networks: Algorithms, Theory, and Applications | 1 | 0.34 | 2019 |
Learning To Learn Image Classifiers With Visual Analogy | 3 | 0.40 | 2019 |
Context-Aware Attention-Based Data Augmentation for POI Recommendation | 0 | 0.34 | 2019 |
Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach | 2 | 0.38 | 2018 |
Learning and Interpreting Complex Distributions in Empirical Data. | 3 | 0.43 | 2018 |
Causally Regularized Learning with Agnostic Data Selection Bias. | 6 | 0.45 | 2018 |
Power-law Distribution Aware Trust Prediction. | 2 | 0.36 | 2018 |
Deep Asymmetric Transfer Network for Unbalanced Domain Adaptation | 1 | 0.35 | 2018 |
Collective Human Behavior in Cascading System: Discovery, Modeling and Applications | 3 | 0.38 | 2018 |
TIMERS: Error-Bounded SVD Restart on Dynamic Networks | 7 | 0.43 | 2018 |
Billion-Scale Network Embedding with Iterative Random Projection | 3 | 0.37 | 2018 |
Hierarchical Taxonomy Aware Network Embedding. | 6 | 0.44 | 2018 |
Stable Prediction across Unknown Environments. | 13 | 0.78 | 2018 |