GES
Graph Engine Service (GES) uses the self-developed EYWA kernel to facilitate querying and analysis of graph-structure data based on various relationships. It is specifically suited for scenarios requiring analysis of rich relationship data, including social relationship analysis, marketing recommendation, social listening, information communication, and anti-fraud.
Advantages
- Large Scale
GES has the efficient data organization capability, facilitating analysis and querying of graphs with tens of billions of vertices and hundreds of billions of edges.
- High Performance
GES has optimized the distributed graph processing engine to support high-concurrency, multi-hop, real-time queries in seconds.
- Integrated Querying and Analysis
GES provides extensive graph analytics algorithms to implement integrated querying and analysis, facilitating analysis for scenarios such as relationship analysis and marketing recommendation.
- Ease of Use
GES provides a wizard-based GUI and is compatible with Gremlin, facilitating easy graph analysis.
Application Scenarios
- Internet
Quickly and effectively mines valuable information from large and complex social networks.
Advantages
- Friend, Product, and Information Recommendation
Provides personalized and precise recommendations based on friend relationships, user profiles, behavior similarities, product similarities, and propagation paths.
- User Grouping
Groups users based on their profiles, behavior similarities, or relationships to facilitate precise user group management.
- Abnormal Behavior Analysis
Analyzes user behavior, partner relationships, and account/IP login information to detect abnormal behavior, minimizing losses due to frauds.
- Social Listening
Identifies hot topics by analyzing propagation paths and relationships.
- Friend, Product, and Information Recommendation
- Knowledge Graph
GES-based knowledge graphs integrate various kinds of heterogeneous data, enabling larger graph scales and higher performance.
Advantages
- Massive Storage
Integrates and stores billions of heterogeneous data points as vertices and edges in graphs.
- Quick Correlation Query
Optimized to process thousands of graph queries, returning accurate results within seconds.
- Knowledge Classification
Combines similar knowledge points based on graph-based analysis and computing to implement knowledge disambiguation.
- Learning Path Identification and Recommendation
Identifies and recommends learning paths based on learning relationships between data points.
- Massive Storage
- Financial Risk Control
Detects fraudulent user behavior, minimizing potential financial risks.
Advantages
- Real-time Fraud Detection
Identifies users who share the same personal information such as email addresses or IP addresses and highlights cases of known or potential frauds.
- Group Detection
Groups users based on interpersonal relationship analysis to identify abnormal groups.
- Missing Persons Discovery
- Real-time Fraud Detection
- Urban Industry
Helps customers adjust the pressure and balance loads of urban roads or pipelines (such as water, gas, power, and oil pipelines) to facilitate refined control over traffic networks and pipelines.
Advantages
- Pipeline Pressure Adjustment
Helps analyze traffic pressure of the entire pipeline network based on the real-time pipeline monitoring data.
- Urban Road Network Control
Analyzes traffic congestion of the entire urban road network according to the traffic, road network, and intersection monitoring information to improve traffic light control.
- Path Design
Designs routes based on people and vehicle requests in real time, increasing the seat occupancy rate and reducing operation costs.
- Pipeline Pressure Adjustment
- Enterprise IT
Provides intelligent device monitoring and management for your entire network and IT infrastructure.
Advantages
- Network Planning
Facilitates network planning by determining impacts of faulty nodes, and recommends backup routers for nodes bearing heavy loads.
- Fault Cause Analysis
Quickly locates the root cause of any network or infrastructure fault.
- IT Infrastructure Management
Provides visual relationships of network devices, including device and resource statuses, for more efficient O&M.
- Network Planning
Functions
- Extensive Algorithms
Supports various algorithms such as PageRank, K-core, Shortest Path, Label Propagation, Triangle Count, and Link Prediction.
- Visualized Graph Analysis
Provides a wizard-based exploration environment and visualized query results.
- Query/Analysis APIs
Provides APIs for graph query, metrics statistics, Gremlin query, graph algorithms, and graph and backup management.
- Compatibility
- Graph Management
Provides the GES overview, graph management, graph backup, sandbox access, metadata management, and task center functions.
Next Article: Making Preparations
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