4 papers · 1 filter
AC2L-GAD: Active Counterfactual Contrastive Learning for Graph Anomaly Detection
Kamal Berahmand, Saman Forouzandeh, Mehrnoush Mohammadi +2
Graph anomaly detection aims to identify abnormal patterns in networks, but faces significant challenges from label scarcity and extreme class imbalance. While graph contrastive le…
Learning Hierarchical Procedural Memory for LLM Agents through Bayesian Selection and Contrastive Refinement
Saman Forouzandeh, Wei Peng, Parham Moradi +2
We present MACLA, a framework that decouples reasoning from learning by maintaining a frozen large language model while performing all adaptation in an external hierarchical proced…
A Novel Community Detection Based Genetic Algorithm for Feature Selection
Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
The selection of features is an essential data preprocessing stage in data mining. The core principle of feature selection seems to be to pick a subset of possible features by excl…
Review of Swarm Intelligence-based Feature Selection Methods
Mehrdad Rostami, Kamal Berahmand, Saman Forouzandeh
In the past decades, the rapid growth of computer and database technologies has led to the rapid growth of large-scale datasets. On the other hand, data mining applications with hi…