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ISMIS
2009
Springer
14 years 3 months ago
Discovering Relevant Cross-Graph Cliques in Dynamic Networks
Abstract. Several algorithms, namely CubeMiner, Trias, and DataPeeler, have been recently proposed to mine closed patterns in ternary relations. We consider here the specific cont...
Loïc Cerf, Tran Bao Nhan Nguyen, Jean-Fran&cc...
BICOB
2009
Springer
14 years 3 months ago
Graph Spectral Approach for Identifying Protein Domains
Here we present a simple method based on graph spectral properties to automatically partition multi-domain proteins into individual domains. The identification of structural domain...
Hari Krishna Yalamanchili, Nita Parekh
ILP
2003
Springer
14 years 1 months ago
Graph Kernels and Gaussian Processes for Relational Reinforcement Learning
RRL is a relational reinforcement learning system based on Q-learning in relational state-action spaces. It aims to enable agents to learn how to act in an environment that has no ...
Thomas Gärtner, Kurt Driessens, Jan Ramon
SDM
2008
SIAM
139views Data Mining» more  SDM 2008»
13 years 10 months ago
Proximity Tracking on Time-Evolving Bipartite Graphs
Given an author-conference network that evolves over time, which are the conferences that a given author is most closely related with, and how do they change over time? Large time...
Hanghang Tong, Spiros Papadimitriou, Philip S. Yu,...
RSA
2006
110views more  RSA 2006»
13 years 8 months ago
The degree sequences and spectra of scale-free random graphs
We investigate the degree sequences of scale-free random graphs. We obtain a formula for the limiting proportion of vertices with degree d, confirming non-rigorous arguments of Do...
Jonathan Jordan