GRAPHNETWORK
Graphnetwork provides all services including design, system development, server development, everything involved in the site's start-up to up-and-running. By having one company taking care of these tasks, the client will save on extra cost and labor that usually entails when using multiple companies. We grow the website together with the client and suggest most optimized, efficient way as possible.
GRAPHNETWORK
Industry:
Consulting Graphic Design Information Technology Software
Status:
Active
Contact:
+03-5775-4584
Email Addresses:
[email protected]
Technology used in webpage:
Viewport Meta IPhone / Mobile Compatible SPF SSL By Default Google Font API Google Analytics LetsEncrypt Apple Mobile Web Clips Icon Google Tag Manager Content Delivery Network
Investments List
| Date | Company | Article | Money raised |
|---|---|---|---|
| 2018-05-21 | ANAP Lab | Graphnetwork investment in Pre Seed Round - ANAP Lab | 20 M JPY |
| 2018-05-21 | ATLAB | Graphnetwork investment in Seed Round - ATLAB | 20 M JPY |
More informations about "Graphnetwork"
The GRAPH Network - Global Research and Analyses for Public …
The Global Research and Analyses for Public Health (GRAPH) Network is a multidisciplinary community of health professionals, Universities, NGOs, and international organizations from …See details»
What is The Graph Network? - The Graph Academy
The Graph Network is a network of nodes that index data from multiple blockchains and serve that data through GraphQL compliant HTTP endpoints. The network tokenomics are settled using …See details»
The Graph
Enter The Graph Network, a decentralized data market powered by distributed participants: Indexers, Curators, Delegators, and Subgraph Developers. Join the ecosystem Transform the internet The Graph ecosystem welcomes you — …See details»
The Graph - Wikipedia
The Graph was launched on the Ethereum blockchain in 2018 by Yaniv Tal, Brandon Ramirez and Jannis Pohlman. In June 2020, The Graph raised $5 million in a token sale to Framework Ventures, Coinbase Ventures, CoinDesk parent Digital Currency Group, Multicoin Capital, DTC Capital, and others. In October 2020, the governance of the network was turned over to an independent network called The Graph Foundation. Eva Beylin was nominated to serve as direc…See details»
The GRAPH Network | LinkedIn
The GRAPH Network | 4,294 followers on LinkedIn. Global Research and Analyses for Public Health | We build open data science software, create educational resources, and conduct …See details»
R Masterclass – The GRAPH Courses
To organize a private cohort for an organization, email admin[at]thegraphnetwork.org. Course Details. Duration 12 weeks. Next cohort April 16 -July 2, 2025. Application Deadline April 11. ... the GRAPH Network. …See details»
The Graph Network: The Sunrise of Decentralized Data
Oct 4, 2022 The Graph Network launched in 2020 and ushered in a paradigm shift for web3, marking the internet’s first-ever decentralized way to access indexed blockchain data. ... Edge & Node, StreamingFast, Semiotic Labs, …See details»
Supported Networks - The Graph
The Graph Network indexes chains across Mainnets and Testnets. Products. Networks. Participate. Ecosystem. Resources. Pricing. Docs. Apps. 90+ Supported Networks. The Graph …See details»
LightGNN: Simple Graph Neural Network for Recommendation
Jan 7, 2025 Graph neural networks (GNNs) have demonstrated superior performance in collaborative recommendation through their ability to conduct high-order representation …See details»
What is a Graph Neural Network | IBM
Feb 19, 2025 Graph neural networks are a deep neural network architecture that represents data about entities and their relationships. They’re useful for real-world data mining, …See details»
Graph neural network - Wikipedia
Node representation update in a Message Passing Neural Network (MPNN) layer. Node receives messages sent by all of its immediate neighbours to .Messages are computing via the message function , which accounts for the features of …See details»
Gephi - The Open Graph Viz Platform
Applications. Exploratory Data Analysis: intuition-oriented analysis by networks manipulations in real time.. Link Analysis: revealing the underlying structures of associations between objects.. …See details»
A review of graph neural networks: concepts, architectures, …
Jan 16, 2024 Thomas Kipf and Max Welling introduced the convolutional graph network (GCN) in 2017. A GCN layer defines a localized spectral filter's first-order approximation on graphs. ...See details»
Graph theory approaches to functional network organization in …
Dec 1, 2018 Abstract. Over the past two decades, resting-state functional connectivity (RSFC) methods have provided new insights into the network organization of the human brain. Studies …See details»
Graph Neural Networks in Network Neuroscience - IEEE Xplore
Sep 26, 2022 Noninvasive medical neuroimaging has yielded many discoveries about the brain connectivity. Several substantial techniques mapping morphological, structural and functional …See details»
GitHub - ACANETS/ntc-gnn: Network Traffic Classification with …
Network Traffic Classification with Graph Neural Networks - ACANETS/ntc-gnnSee details»
The New Era of The Graph: A Roadmap for Serving All The World’s …
Nov 7, 2023 The New Era of The Graph is the beginning of a new chapter where The Graph Network serves all data needs and different users, supporting a flourishing universe of data. …See details»
A Comprehensive Introduction to Graph Neural Networks (GNNs)
Jul 21, 2022 Graph Neural Networks are directly applied to graph datasets and you can train them to predict nodes, edges, and graphs-related tasks. It is used for graph and node …See details»
Everything is connected: Graph neural networks - ScienceDirect
Apr 1, 2023 There is very good reason to study data on graphs. From the molecule (a graph of atoms connected by chemical bonds) all the way to the connectomic structure of the brain (a …See details»
[2503.14284] Entente: Cross-silo Intrusion Detection on Network …
2 days ago Graph-based Network Intrusion Detection System (GNIDS) has gained significant momentum in detecting sophisticated cyber-attacks, like Advanced Persistent Threat (APT), in …See details»