102 citations · 105 across the 5 of their papers we have counts for
5 papers
Knowledge-based Refinement of Scientific Publication Knowledge Graphs
Siwen Yan, Phillip Odom, Sriraam Natarajan
We consider the problem of identifying authorship by posing it as a knowledge graph construction and refinement. To this effect, we model this problem as learning a probabilistic l…
Promoting Research Collaboration with Open Data Driven Team Recommendation in Response to Call for Proposals
Siva Likitha Valluru, Biplav Srivastava, Sai Teja Paladi +2
Building teams and promoting collaboration are two very common business activities. An example of these are seen in the TeamingForFunding problem, where research institutions and r…
ToupleGDD: A Fine-Designed Solution of Influence Maximization by Deep Reinforcement Learning
Tiantian Chen, Siwen Yan, Jianxiong Guo +1
Aiming at selecting a small subset of nodes with maximum influence on networks, the Influence Maximization (IM) problem has been extensively studied. Since it is #P-hard to compute…
Explainable Models via Compression of Tree Ensembles
Siwen Yan, Sriraam Natarajan, Saket Joshi +2
Ensemble models (bagging and gradient-boosting) of relational decision trees have proved to be one of the most effective learning methods in the area of probabilistic logic models…
Non-Parametric Learning of Gaifman Models
Devendra Singh Dhami, Siwen Yan, Gautam Kunapuli +1
We consider the problem of structure learning for Gaifman models and learn relational features that can be used to derive feature representations from a knowledge base. These relat…