Graph Structure Learning|Based Compression Method for ...

Graph Structure Learning-Based Compression Method for ...

A compression method based on Graph Structure Learning (GSL) for CNNs is proposed. It utilizes the graph learning to mine the correlation ...

Graph Structure Learning-Based Compression Method for ...

This paper presents a compression technique based on graph structure learning (GSL) for CNNs. This method aims to capture the correlations among ...

Graph Structure Learning-Based Compression Method for ...

This paper presents a compression technique based on graph structure learning (GSL) for CNNs. This method aims to capture the correlations ...

EGNN: Graph structure learning based on evolutionary computation ...

In order to solve this problem, a Graph Structure Learning (GSL) method has recently emerged to improve the performance of graph neural networks by learning a ...

ABKD: Graph Neural Network Compression with Attention-Based ...

This is primarily attributed to the irregular structure of graph data and its access pattern into memory. The natural solution to reduce latency ...

Compressed Graph Representation? - Stack Overflow

Bloom filters are probabilistic, hash-based structures that compress large data sets and are used for things like cache lookups, etc. But ...

Graph Structure Learning-Based Compression Method for ... - OUCI

Graph Structure Learning-Based Compression Method for Convolutional Neural Networks. https://doi.org/10.1007/978-981-97-0801-7_8 ·. Journal: Algorithms and ...

[2201.05540] Compact Graph Structure Learning via Mutual ... - arXiv

In essence, an optimal graph structure should only contain the information about tasks while compress redundant noise as much as possible, which ...

Partition and Code: learning how to compress graphs - OpenReview

We introduce a flexible, end-to-end machine learning framework for lossless graph compression based on graph partitioning, ...

Graph Autoencoder for Graph Compression and Representation ...

TL;DR: We propose a novel Graph Autoencoder structure, MIAGAE, which achieves state-of-the-art performance on graph compression and ...

Principal Graph and Structure Learning Based on Reversed Graph ...

The new algorithm is simple with guaranteed convergence. We then extend the proposed framework to deal with large-scale data. Experimental results on various ...

EPQuant: A Graph Neural Network compression approach based on ...

To alleviate the processing burden caused by PQ and improve compression performance, we propose Enhanced Product Quantization (EPQ). It reduces ...

Partition and Code: learning how to compress graphs

The algorithms identifying the re-orderings are usually based on heuristics taking advantage of specific network properties, e.g., community structure. Another ...

Graph structure learning | Papers With Code

A Tale of Two Graphs: Freezing and Denoising Graph Structures for Multimodal Recommendation ... Based on this finding, we propose a simple yet effective model, ...

Computing over Compressed Graph-Structured Data

The project aims to bring computation over compressed data to massive graph-structured datasets by extending optimally-compressed tree data structures.

Graph Compression Networks - NSF PAR

trix, based on network topological structure, to compress ... The architecture of GEN-based graph representation learning for inductive graph classification.

[PDF] Compact Graph Structure Learning via Mutual Information ...

This paper theoretically prove that if the authors optimize basic views and final view based on mutual information, and keep their performance on labels ...

an introduction to graph compression techniques for in-memory ...

MapReduce[7] to Machine Learning algorithms on graph data. The common theme ... In addition to compressing the graph structure, we can also identify opportunities.

Learning Graph Neural Networks using Exact Compression

In this paper, we study exact compression as a way to reduce the memory requirements of learning GNNs on large graphs. In particular, we adopt a ...

Compact Graph Structure Learning via Mutual Information ...

Request PDF | Compact Graph Structure Learning via Mutual Information Compression | Graph Structure Learning (GSL) recently has attracted considerable ...