Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

Graph Neural Networks (GNNs) have been proposed to learn graph representations for various graph mining tasks such as link prediction and node classification. These methods aggregate information from ...

As Large Language Models (LLMs) are widely used for tasks like document summarization, legal analysis, and medical history ...

Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...

To flexibly and robustly handle diverse problems, AI systems can leverage dual-process theories of human cognition that ...

Learn about the Sikkim TET Syllabus 2025, including topic-wise syllabus, weightage, preparation tips, and more on this page.

LeetCode is super important for coding interviews because lots of big tech companies use its style of problems. Getting good ...