Predictive Network Representation Learning for Link Prediction
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Summary
An effective sampling strategy is developed to select certain edges in a given network as assumed hidden links and regard the rest network structure as observed when training the model.
- Type
- article
- Published
- 2017-08-07
- Cited by
- 61
- References
- 10
- OpenAlex
- https://openalex.org/W2739865319
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:34456006
Keywords
Computer science, Representation (politics), Machine learning, Artificial intelligence, Link (geometry)
References
- LINE: Large-scale Information Network Embedding
- Collective dynamics of ‘small-world’ networks
- The structure of scientific collaboration networks.
- Distributed Representations of Words and Phrases and their Compositionality
- Friends and neighbors on the Web
- DeepWalk: online learning of social representations
- Self-similar community structure in a network of human interactions.
- Learning to Discover Social Circles in Ego Networks
- node2vec: Scalable Feature Learning for Networks
- Link Prediction via Matrix Factorization
Cited by
- A Fusion Link Prediction Method Based on Limit Theorem
- Mobile Social Big Data: WeChat Moments Dataset, Network Applications, and Opportunities
- Predicting interval time for reciprocal link creation using survival analysis
- Adversarially Regularized Graph Autoencoder
- Combining Temporal Aspects of Dynamic Networks with Node2Vec for a more Efficient Dynamic Link Prediction
- Adversarial Training Methods for Network Embedding
- Citation Recommendation as Edge Prediction in Heterogeneous Bibliographic Network: A Network Representation Approach
- Information Diffusion Prediction with Network Regularized Role-based User Representation Learning
- RWR-GAE: Random Walk Regularization for Graph Auto Encoders
- Deep Walk Algorithm based on Improved Random Walk with Equal Probability
- Feature-Dependent Graph Convolutional Autoencoders with Adversarial Training Methods
- Neighborhood Interaction Attention Network for Link Prediction
- Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning
- Effective Decoding in Graph Auto-Encoder using Triadic Closure
- MODEL: Motif-Based Deep Feature Learning for Link Prediction
- Node proximity preserved dynamic network embedding via matrix perturbation
- Tucker decomposition-based Temporal Knowledge Graph Completion
- Cross-Graph: Robust and Unsupervised Embedding for Attributed Graphs with Corrupted Structure
- Lime: Low-Cost and Incremental Learning for Dynamic Heterogeneous Information Networks
- An overview and evaluation of citation recommendation models
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