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Memgraph in fraud detection #1367
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…ation into memgraph-in-production
…-mission-critical-workloads
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- **GNNs and ML on graph topology**: Leverage graph-native topology for **GNNs** (e.g., node classification, link prediction) and combine **embeddings** with graph algorithms to improve fraud detection accuracy over tabular‑only baselines. | ||
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## What is covered? |
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This section doesn't correspond to the content of the page, resolve content and links
- **Role-based and label-based access control (RBAC/LBAC)** | ||
Ensure least-privilege access across analysts, SOC teams, and external partners. See | ||
[Role-based access control](/database-management/authentication-and-authorization/role-based-access-control). | ||
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- **Replication and high availability** | ||
Keep scoring and investigations online with leader–replica setups and automatic failover. See | ||
[High availability](/clustering/high-availability) and [Replication](/clustering/replication). | ||
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- **Multi-tenancy** | ||
Isolate per product, region, or use case. See [Multi-tenancy](/database-management/multi-tenancy). | ||
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- **Single sign-on (SSO) for Memgraph Lab** | ||
Streamline secure access for your fraud investigators and stakeholders. See [Single sign-on](/memgraph-lab/features/single-sign-on). | ||
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- **Audit logs** | ||
Track access and changes for compliance and investigations. See [Audit log](/database-management/enabling-memgraph-enterprise#audit-log). | ||
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- **Query sharing for collaboration** | ||
Enable investigators to share queries and findings seamlessly. See [Sharing features](/database-management/enabling-memgraph-enterprise#sharing-features). | ||
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- **Role-based and label-based access control (RBAC/LBAC)** | |
Ensure least-privilege access across analysts, SOC teams, and external partners. See | |
[Role-based access control](/database-management/authentication-and-authorization/role-based-access-control). | |
- **Replication and high availability** | |
Keep scoring and investigations online with leader–replica setups and automatic failover. See | |
[High availability](/clustering/high-availability) and [Replication](/clustering/replication). | |
- **Multi-tenancy** | |
Isolate per product, region, or use case. See [Multi-tenancy](/database-management/multi-tenancy). | |
- **Single sign-on (SSO) for Memgraph Lab** | |
Streamline secure access for your fraud investigators and stakeholders. See [Single sign-on](/memgraph-lab/features/single-sign-on). | |
- **Audit logs** | |
Track access and changes for compliance and investigations. See [Audit log](/database-management/enabling-memgraph-enterprise#audit-log). | |
- **Query sharing for collaboration** | |
Enable investigators to share queries and findings seamlessly. See [Sharing features](/database-management/enabling-memgraph-enterprise#sharing-features). | |
- [Role-based and label-based access control (RBAC/LBAC)](/database-management/authentication-and-authorization/role-based-access-control) | |
Ensure least-privilege access across analysts, SOC teams, and external partners. | |
- [Replication](/clustering/replication) and [high availability](/clustering/high-availability) | |
Keep scoring and investigations online with leader–replica setups and automatic failover. | |
- [Multi-tenancy](/database-management/multi-tenancy) | |
Isolate per product, region, or use case. | |
- [Single sign-on (SSO) for Memgraph Lab](/memgraph-lab/features/single-sign-on) | |
Streamline secure access for your fraud investigators and stakeholders. | |
- [Audit logs](/database-management/enabling-memgraph-enterprise#audit-log) | |
Track access and changes for compliance and investigations. | |
- [Query sharing](/database-management/enabling-memgraph-enterprise#sharing-features) for collaboration | |
Enable investigators to share queries and findings seamlessly. | |
There are three complementary ways to build fraud detection on Memgraph: | ||
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### 1) Basic pattern matching in Cypher |
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There are three complementary ways to build fraud detection on Memgraph: | |
### 1) Basic pattern matching in Cypher | |
There are three complementary ways to build fraud detection on Memgraph: | |
1. [Basic pattern matching in Cypher](#basic-pattern-matching-in-cypher) | |
2. [Graph algorithms (MAGE library)](#graph-algorithms-mage) | |
3. [Machine learning on graphs](#machine-learning-on-graphs) | |
### Basic pattern matching in Cypher |
RETURN d, accounts; | ||
``` | ||
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### 2) Graph algorithms (MAGE) |
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### 2) Graph algorithms (MAGE) | |
### Graph algorithms (MAGE) |
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Browse more in [Available algorithms](/advanced-algorithms/available-algorithms). Many also have online/dynamic variants (e.g., [pagerank_online](/advanced-algorithms/available-algorithms/pagerank_online), [katz_centrality_online](/advanced-algorithms/available-algorithms/katz_centrality_online)) for high‑velocity data. | ||
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### 3) Machine learning on graphs |
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### 3) Machine learning on graphs | |
### Machine learning on graphs |
Release note
Add guide for fraud detection
Checklist:
bugfix
orfeature
label, based on the product PR type you're documenting