# Ranking Relations using Analogies in Biological and Information Networks

@article{Silva2010RankingRU, title={Ranking Relations using Analogies in Biological and Information Networks}, author={R. A. E. Silva and K. Heller and Zoubin Ghahramani and E. Airoldi}, journal={The annals of applied statistics}, year={2010}, volume={4 2}, pages={ 615-644 } }

Analogical reasoning depends fundamentally on the ability to learn and generalize about relations between objects. We develop an approach to relational learning which, given a set of pairs of objects S = {A(1) : B(1), A(2) : B(2), …, A(N) : B(N)}, measures how well other pairs A : B fit in with the set S. Our work addresses the following question: is the relation between objects A and B analogous to those relations found in S? Such questions are particularly relevant in information retrieval… CONTINUE READING

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#### References

##### Publications referenced by this paper.

SHOWING 1-10 OF 105 REFERENCES

Ranking community answers by modeling question-answer relationships via analogical reasoning

- Computer Science
- 2009

103