The following pages link to word2vec (Q26873):
Displaying 50 items.
- HNS: hierarchical negative sampling for network representation learning (Q2053869) (← links)
- Hierarchical community structure preserving approach for network embedding (Q2055584) (← links)
- Semantically tied paired cycle consistency for any-shot sketch-based image retrieval (Q2056110) (← links)
- Link prediction based on feature representation and fusion (Q2056364) (← links)
- MGAT: multi-view graph attention networks (Q2057755) (← links)
- Network embedding: taxonomies, frameworks and applications (Q2065964) (← links)
- Biased random walk with restart for link prediction with graph embedding method (Q2067448) (← links)
- Link prediction techniques, applications, and performance: a survey (Q2070200) (← links)
- \texttt{OWL2Vec}*: embedding of OWL ontologies (Q2071326) (← links)
- Identification of relevant quantities in arithmetic word problems using Siamese neural network (Q2079963) (← links)
- Nearest neighbor forecasting using sparse data representation (Q2080638) (← links)
- Error-correcting neural networks for semi-Lagrangian advection in the level-set method (Q2088344) (← links)
- Generalized fuzzy automata with semantic computing (Q2099949) (← links)
- Model free error compensation for cable-driven robot based on deep learning with sim2real transfer learning (Q2101780) (← links)
- Extending business failure prediction models with textual website content using deep learning (Q2106750) (← links)
- Quantum computations for disambiguation and question answering (Q2107064) (← links)
- Fast-QTrain: an algorithm for fast training of variational classifiers (Q2107969) (← links)
- Likelihood estimation of sparse topic distributions in topic models and its applications to Wasserstein document distance calculations (Q2112814) (← links)
- Optimized item selection to boost exploration for recommender systems (Q2117247) (← links)
- Neural software vulnerability analysis using rich intermediate graph representations of programs (Q2123552) (← links)
- Non-intrusive reduced-order modeling using uncertainty-aware deep neural networks and proper orthogonal decomposition: application to flood modeling (Q2123910) (← links)
- Deep random walk of unitary invariance for large-scale data representation (Q2124155) (← links)
- Gaussianity and typicality in matrix distributional semantics (Q2124251) (← links)
- LMMS reloaded: transformer-based sense embeddings for disambiguation and beyond (Q2124431) (← links)
- Fusing attributed and topological global-relations for network embedding (Q2127090) (← links)
- Embed2detect: temporally clustered embedded words for event detection in social media (Q2127218) (← links)
- ReliefE: feature ranking in high-dimensional spaces via manifold embeddings (Q2127230) (← links)
- On the solution of contact problems with Tresca friction by the semismooth* Newton method (Q2128478) (← links)
- OLMNE+FT: multiplex network embedding based on overlapping links (Q2128695) (← links)
- Searching for mathematical formulas based on graph representation learning (Q2128810) (← links)
- Mathematical foundations based statistical modeling of software source code for software system evolution (Q2130438) (← links)
- Identification of protein functions in mouse with a label space partition method (Q2130449) (← links)
- Development and analysis of a sentence semantics representation model (Q2132072) (← links)
- INK: knowledge graph embeddings for node classification (Q2134043) (← links)
- Neural collapse under cross-entropy loss (Q2134115) (← links)
- Measuring systematic risk with neural network factor model (Q2137662) (← links)
- Eigen-stratified models (Q2138309) (← links)
- Analogies between sentences: theoretical aspects -- preliminary experiments (Q2145996) (← links)
- \textsc{SparrowHawk}: memory safety flaw detection via data-driven source code annotation (Q2151294) (← links)
- Transformer-based deep neural language modeling for construct-specific automatic item generation (Q2152429) (← links)
- Hierarchical Bayesian text modeling for the unsupervised joint analysis of latent topics and semantic clusters (Q2152511) (← links)
- Representation learning for temporal networks using temporal random walk and deep autoencoder (Q2161280) (← links)
- Challenges for machine learning in RNA-protein interaction prediction (Q2162489) (← links)
- VoCSK: verb-oriented commonsense knowledge mining with taxonomy-guided induction (Q2163882) (← links)
- SHOPPER: a probabilistic model of consumer choice with substitutes and complements (Q2179937) (← links)
- Classification optimization for training a large dataset with naïve Bayes (Q2185824) (← links)
- Changing channels: divergent approaches to the creative streaming of texts (Q2188769) (← links)
- Dual embeddings and metrics for word and relational similarity (Q2188776) (← links)
- Distance geometry and data science (Q2192022) (← links)
- Transductive zero-shot action recognition by word-vector embedding (Q2193768) (← links)
