Enhancing Node-Level Adversarial Defenses by Lipschitz Regularization of Graph Neural Networks
Yaning Jia, Dongmian Zou, Hongfei Wang, Hai Jin
KDD 2023 Papers
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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496papers
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- Other / unlabeled496100.0%
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TitleTypeTopic
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End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising
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Empowering General-purpose User Representation with Full-life Cycle Behavior Modeling
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Empower Post-hoc Graph Explanations with Information Bottleneck: A Pre-training and Fine-tuning Perspective
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Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering
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Efficient and Effective Edge-Wise Graph Representation Learning
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Efficient Sparse Linear Bandits under High Dimensional Data
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Efficient Single-Source SimRank Query by Path Aggregation
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Efficient Distributed Approximate k-Nearest Neighbor Graph Construction by Multiway Random Division Forest
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Efficient Coreset Selection with Cluster-Based Methods
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Efficient Continuous Space Policy Optimization for High-frequency Trading
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Efficient Bi-Level Optimization for Recommendation Denoising
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Efficient Approximation Algorithms for Spanning Centrality
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EXTRACT and REFINE: Finding a Support Subgraph Set for Graph Representation
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ESSA: Explanation Iterative Supervision via Saliency-Guided Data Augmentation
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