Feb 8, 2022 · Recent advances in Graph Neural Networks (GNN) have provided new methods for this task since this family of models can more powerfully capture similarities between users. In …

Feb 20, 2023 · We can construct a graph by treating each person as a node and letting an edge between two nodes indicate that the two users are friends. If we want to find the path between …

With friend recommendations, there are two classical approaches: a topology-based approach and a content-based approach. With topology-based approaches, the models uses properties …

Feb 24, 2023 · Graph Data Structure is a collection of nodes connected by edges. It's used to represent relationships between different entities. If you are looking for topic-wise list of …

A Social Network Friend Recommendation System is an exciting project that leverages graph theory concepts to simulate real-world social networks. This project enables students to …

Jun 18, 2024 · We conduct an in-depth analysis of complex friendship network structures, identify connection patterns between users, and apply graph techniques to predict the likelihood of …

An integrated framework is proposed in this paper that learns from various user attributes and its associated interactions, network structure, timeline history, etc. from a polarized OSN Graph …

Here, we are given a social graph, i.e. a graph structure where nodes are individuals on social media platforms and a directed edges (or 'links') indicates that one person 'follows' the other, …

Nov 4, 2024 · Using graph traversal algorithms like BFS (Breadth-First Search) and DFS (Depth-First Search), platforms explore mutual friends and make recommendations based on shared …

Apr 29, 2025 · Graph with nodes and edges. We will use this graph as example for the heuristic-based methods. Image by author. Heuristic-Based Methods. We can divide these ‘easy’ …