Unsupervised Learning of Joint Embeddings for Node Representation and Community Detection
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2021 |
Khan, Rayyan Ahmad |
Principled Interpolation in Normalizing Flows
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2021 |
Fadel, Samuel G. |
GraphSVX: Shapley Value Explanations for Graph Neural Networks
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2021 |
Duval, Alexandre |
The KL-Divergence Between a Graph Model and its Fair I-Projection as a Fairness Regularizer
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2021 |
Buyl, Maarten |
Inductive Link Prediction with Interactive Structure Learning on Attributed Graph
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2021 |
Yang, Shuo |
PATHATTACK: Attacking Shortest Paths in Complex Networks
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2021 |
Miller, Benjamin A. |
Studying and Exploiting the Relationship Between Model Accuracy and Explanation Quality
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2021 |
Jia, Yunzhe |
Interpretable Counterfactual Explanations Guided by Prototypes
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2021 |
Looveren, Arnaud Van |
Explainable Multiple Instance Learning with Instance Selection Randomized Trees
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2021 |
Komárek, Tomáš |
The Bures Metric for Generative Adversarial Networks
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2021 |
Meulemeester, Hannes De |
GraphAnoGAN: Detecting Anomalous Snapshots from Attributed Graphs
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2021 |
Bhatia, Siddharth |
Gaussian Process Encoders: VAEs with Reliable Latent-Space Uncertainty
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2021 |
Bütepage, Judith |
CycleGAN Through the Lens of (Dynamical) Optimal Transport
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2021 |
Bézenac, Emmanuel de |
Learning from Noisy Similar and Dissimilar Data
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2021 |
Dan, Soham |
Disparity Between Batches as a Signal for Early Stopping
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2021 |
Forouzesh, Mahsa |
Knowledge Distillation with Distribution Mismatch
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2021 |
Nguyen, Dang |
Inter-domain Multi-relational Link Prediction
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2021 |
Phuc, Luu Huu |
Semantic-Specific Hierarchical Alignment Network for Heterogeneous Graph Adaptation
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2021 |
Zhuang, YuanXin |
Probing Negative Sampling for Contrastive Learning to Learn Graph Representations
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2021 |
Chen, Shiyi |
Representation Learning on Multi-layered Heterogeneous Network
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2021 |
Zhang, Delvin Ce |