Introduction to Statistical Relational Learning
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Citation edge evidence
- The Graph Neural Network Model→Introduction to Statistical Relational LearningLegacy edge — source detail unavailable
- DeepWalk→Introduction to Statistical Relational LearningLegacy edge — source detail unavailable
- Relational inductive biases, deep learning, and graph networks→Introduction to Statistical Relational LearningLegacy edge — source detail unavailable
- Practical Recommendations for Gradient-Based Training of Deep Architectures→Introduction to Statistical Relational LearningLegacy edge — source detail unavailable
- The Unreasonable Effectiveness of Data→Introduction to Statistical Relational LearningLegacy edge — source detail unavailable
- Knowledge Graphs→Introduction to Statistical Relational LearningLegacy edge — source detail unavailable
- A Review of Relational Machine Learning for Knowledge Graphs→Introduction to Statistical Relational LearningLegacy edge — source detail unavailable
- Introduction to Statistical Relational Learning→Probabilistic Reasoning in Intelligent Systems: Networks of Plausible InferenceLegacy edge — source detail unavailable
- Introduction to Statistical Relational Learning→Markov logic networksLegacy edge — source detail unavailable
- A Review of Relational Machine Learning for Knowledge Graphs→Markov logic networksLegacy edge — source detail unavailable
- Practical Recommendations for Gradient-Based Training of Deep Architectures→Markov logic networksLegacy edge — source detail unavailable
- Markov logic networks→Probabilistic Reasoning in Intelligent Systems: Networks of Plausible InferenceLegacy edge — source detail unavailable
- Relational inductive biases, deep learning, and graph networks→The Graph Neural Network ModelLegacy edge — source detail unavailable
- Relational inductive biases, deep learning, and graph networks→Probabilistic Reasoning in Intelligent Systems: Networks of Plausible InferenceLegacy edge — source detail unavailable
- Knowledge Graphs→A Review of Relational Machine Learning for Knowledge GraphsLegacy edge — source detail unavailable
- Knowledge Graphs→The Graph Neural Network ModelLegacy edge — source detail unavailable
What this paper cites, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference | 1988 | 16,981 |
| Markov logic networks | 2006 | 2,684 |
What cites it, inside the corpus
| Paper | Year | Cited |
|---|---|---|
| The Graph Neural Network Model | 2008 | 9,662 |
| DeepWalk | 2014 | 8,670 |
| Relational inductive biases, deep learning, and graph networks | 2018 | 2,406 |
| Practical Recommendations for Gradient-Based Training of Deep Architectures | 2012 | 1,960 |
| The Unreasonable Effectiveness of Data | 2009 | 1,814 |
| Knowledge Graphs | 2021 | 1,767 |
| A Review of Relational Machine Learning for Knowledge Graphs | 2015 | 1,681 |
Links
Topics
| Bayesian Modeling and Causal Inference | Computer Science |
| AI-based Problem Solving and Planning | Computer Science |
| Data Mining Algorithms and Applications | Computer Science |
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- weakensThe source lists no authors for this work at all, so there is nobody to attribute it to and it appears on no author page.
- supports11 reference(s) recorded.
- neutralThe DOI carries no year to check against.
- supportsA title is present.
Provenance
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