Recent developments in the area of neural networks provided new models which are capable of processing general types of graph structures. Neural networks are well-known for their ...
Franco Scarselli, Sweah Liang Yong, Markus Hagenbu...
We present a framework for approximating random-walk based probability distributions over Web pages using graph aggregation. We (1) partition the Web's graph into classes of ...
Andrei Z. Broder, Ronny Lempel, Farzin Maghoul, Ja...
In this paper, we propose a framework called CC-Buddy, for maintaining dynamic data coherency in peer-to-peer environment. Working on the basis of peer heterogeneity in data coher...
When human guess the content of a web page, not only the text on the page but also its appearance is an important factor. However, there have been few studies on the relationship ...
The construction of composite Web Services from service fragments requires semantic descriptions of service offers and service requests. We propose the use of dependencies as a mo...