Abstract: Graph matching aims to establish node correspondences between graphs, which is a classic combinatorial optimization problem. In recent years, (deep) learning-based methods have emerged as a ...

Discover how game theory strategies improve decision-making in business, finance, and economics. Enhance your analytical skills with real-world applications.

As Valentine’s Day approaches at Stanford, some students may be gearing up for first dates — not with people they met on ...

A PyTorch implementation of the DeFoG model for training and sampling discrete graph flows. (Please update to the latest commit. Recent fixes have been applied.) Working with directed graphs? Consider ...

This repository contains code for Talk like a Graph: Encoding Graphs for Large Language Models and Let Your Graph Do the Talking: Encoding Structured Data for LLMs. @inproceedigs{fatemi2024talk, ...

Abstract: Privacy-Preserving Graph Similarity matching Query (PPGSQ) can retrieve the encrypted data graphs that approximately match with the encrypted query graph ...