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Embedding Learning

3,751 papers

Papers per year

Papers

Adversarial Deep Network Embedding for Cross-Network Node Classification AAAI 2020
Contextual Parameter Generation for Knowledge Graph Link Prediction AAAI 2020
COTSAE: CO-Training of Structure and Attribute Embeddings for Entity Alignment AAAI 2020
Few-Shot Knowledge Graph Completion AAAI 2020
Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction AAAI 2020
Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching AAAI 2020
Active Ordinal Querying for Tuplewise Similarity Learning AAAI 2020
Exponential Family Graph Embeddings AAAI 2020
A Restricted Black-Box Adversarial Framework Towards Attacking Graph Embedding Models AAAI 2020
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback AAAI 2020
Multi-View Clustering in Latent Embedding Space AAAI 2020
Representing Closed Transformation Paths in Encoded Network Latent Space AAAI 2020
Improving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning AAAI 2020
Fairness in Network Representation by Latent Structural Heterogeneity in Observational Data AAAI 2020
Learning Triple Embeddings from Knowledge Graphs AAAI 2020
Diachronic Embedding for Temporal Knowledge Graph Completion AAAI 2020
SNEQ: Semi-Supervised Attributed Network Embedding with Attention-Based Quantisation AAAI 2020
Improved Subsampled Randomized Hadamard Transform for Linear SVM AAAI 2020
Proximity Preserving Binary Code Using Signed Graph-Cut AAAI 2020
Learning Signed Network Embedding via Graph Attention AAAI 2020
Adaptive Two-Dimensional Embedded Image Clustering AAAI 2020
Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk AAAI 2020
Memory Augmented Graph Neural Networks for Sequential Recommendation AAAI 2020
Maximum Likelihood Embedding of Logistic Random Dot Product Graphs AAAI 2020
Scaling All-Goals Updates in Reinforcement Learning Using Convolutional Neural Networks AAAI 2020