Search Results for "sparse graph"

Sparse graph and dense graph, algorithm use for it And advantages and their disadvantages

Sparse Graph and dense Graph

[NS][Lab_Seminar_240909]Sparse Multi-Relational Graph Convolutional Network for Multi-type Object Trajectory Prediction.pptx

Sparse Multi-Relational Graph Convolutional Network for Multi-type Object Trajectory Prediction

From Dense to Sparse: Graphon Mixing for Graph Generation

Graphons are graph limits, and can be used to generate new graphs with desired properties. Intuitive...

Two graphons are better than one! Graph generation with graphon mixtures

Graphons are graph limits, and can be used to generate new graphs with desired properties. Intuitive...

Floyd’s and Warshal’s Algorithm ujjwal matoliya.pptx

The Floyd Warshall algorithm is for solving the All Pairs Shortest Path problem. The problem is to...

Contrastive Learning Using Graph Embeddings for Domain Adaptation of Language Models in the Process Industry

Recent trends in NLP utilize knowledge graphs (KGs) to enhance pretrained language models by incorpo...

Space matrix Space_Matrix_in_Data_Structures.pptx

🧮 Space Matrix in Data Structures A space matrix (or sparse matrix) is a type of matrix that has...

Kruskal's Algorithm finds a minimum spanning tree.

Kruskal's Algorithm is a greedy algorithm used to find the Minimum Spanning Tree (MST) of a conn...

Implementation of graphs, adjaceny matrix

This is a short summary of what graphs are, the types of graphs and how they are implemented. Some...

Graph representation

Graphs-in-Data-Structures.pptx data structure pdetailed presentation

a detailed presentation on graphs in data structure

240902_Thuy_Labseminar[ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations].pptx

ASAP: Adaptive Structure Aware Pooling for Learning Hierarchical Graph Representations

[NS][Lab_Seminar_240624]Graph Neural Networks for End-to-End Information Extraction from Handwritten Documents.pptx

Graph Neural Networks for End-to-End Information Extraction from Handwritten Documents

[NS][Lab_Seminar_240611]Graph R-CNN.pptx

Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph

240805_Thuy_Labseminar[Self-supervised Graph Learning for Recommendation].pptx

Self-supervised Graph Learning for Recommendation

[NS][Lab_Seminar_240610]Graph Representation Learning Meets Computer Vision: A Survey.pptx

Graph Representation Learning Meets Computer Vision: A Survey

[20240628_LabSeminar_Huy]ScalableSTGNN.pptx

Scalable Spatiotemporal Graph Neural Networks

[20240429_LabSeminar_Huy]Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction.pptx

Spatio-Temporal Graph Neural Point Process for Traffic Congestion Event Prediction

Graph-Theory-The-Foundations-of-Modern-Networks.pptx

Graph Theory-The Foundations of Modern Networks

[NS][Lab_Seminar_240617]A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspective.pptx

A Survey on Graph Neural Networks and Graph Transformers in Computer Vision: A Task-Oriented Perspec...

Combinatorial Optimization

Combinatorial Optimization

240715_Thuy_Labseminar[SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching].pptx

SeedGNN: Graph Neural Network for Supervised Seeded Graph Matching

A Generalization of Transformer Networks to Graphs.pptx

A Generalization of Transformer Networks to Graphs

PRIM’S AND KRUSKAL’S ALGORITHM

It is Data-Structure