142 citations · 458 across the 31 of their papers we have counts for
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cs.AI2020
A Hybrid Model for Learning Embeddings and Logical Rules Simultaneously from Knowledge Graphs
Susheel Suresh, Jennifer Neville
The problem of knowledge graph (KG) reasoning has been widely explored by traditional rule-based systems and more recently by knowledge graph embedding methods. While logical rules…
cs.AI2015★ 1 cited
Using Bayesian Network Representations for Effective Sampling from Generative Network Models
Pablo Robles-Granda, Sebastian Moreno, Jennifer Neville
Bayesian networks (BNs) are used for inference and sampling by exploiting conditional independence among random variables. Context specific independence (CSI) is a property of grap…
cs.AI2011★ 3 cited
Representations and Ensemble Methods for Dynamic Relational Classification
Ryan A. Rossi, Jennifer Neville
Temporal networks are ubiquitous and evolve over time by the addition, deletion, and changing of links, nodes, and attributes. Although many relational datasets contain temporal in…