I/O Efficient Label-Constrained Reachability Queries in Large Graphs
Computing the reachability between two vertices in a graph is a fundamental problem in
graph data analysis. Most of the existing works assume that the edges in the graph have no …
graph data analysis. Most of the existing works assume that the edges in the graph have no …
Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents
Recent research has explored the use of Large Language Models (LLMs) for tackling
complex graph reasoning tasks. However, due to the intricacies of graph structures and the …
complex graph reasoning tasks. However, due to the intricacies of graph structures and the …
Parallel Contraction Hierarchies Construction on Road Networks
Shortest path query on road networks is a fundamental problem to support many location-
based services and wide variant applications. Contraction Hierarchies (CH) is widely …
based services and wide variant applications. Contraction Hierarchies (CH) is widely …
Selective Parallel Loading of Large-Scale Compressed Graphs with ParaGrapher
Comprehensive evaluation is one of the basis of experimental science. In High-Performance
Graph Processing, a thorough evaluation of contributions becomes more achievable by …
Graph Processing, a thorough evaluation of contributions becomes more achievable by …
[HTML][HTML] Leveraging Large Language Models for Efficient Alert Aggregation in AIOPs
J Zha, X Shan, J Lu, J Zhu, Z Liu - Electronics, 2024 - mdpi.com
Alerts are an essential tool for the detection of anomalies and ensuring the smooth operation
of online service systems by promptly notifying engineers of potential issues. However, the …
of online service systems by promptly notifying engineers of potential issues. However, the …
Federated k-Core Decomposition: A Secure Distributed Approach
As one of the most well-studied cohesive subgraph models, the $ k $-core is widely used to
find graph nodes that are``central''or``important''in many applications, such as biological …
find graph nodes that are``central''or``important''in many applications, such as biological …
Towards Efficient Heuristic Graph Edge Coloring
H Sui, L Yuan, Z Chen - Asia-Pacific Web (APWeb) and Web-Age …, 2024 - Springer
Graph edge coloring problem is a branch of the graph coloring problem and is a classic NP-
hard problem in graph theory. The goal of edge coloring is to minimize the number of colors …
hard problem in graph theory. The goal of edge coloring is to minimize the number of colors …
Extending TWJ for Triangles Detection in Large Graphs
S Balbouzi, L Zekri, K Mechach - 2024 4th International …, 2024 - ieeexplore.ieee.org
In light of social networks' expansion and the ever-increasing number of subscribers who
daily sign up to them. Detecting and counting triangles of subscribers in these networks are …
daily sign up to them. Detecting and counting triangles of subscribers in these networks are …
[HTML][HTML] Scalable and Accurate Graph Reasoning with LLM-based Multi-Agents (2024)
Recent research has explored the use of Large Language Models (LLMs) for tackling
complex graph reasoning tasks. However, due to the intricacies of graph structures and the …
complex graph reasoning tasks. However, due to the intricacies of graph structures and the …