Research topic
This topic page groups Naser Ezzati-Jivan research papers related to graph neural networks. Each linked record provides the paper's problem, method, findings, limitations, keywords, and authoritative source links.
Related search terms: graph neural networks
2 papers in this topic, ordered newest first. The detailed paper records contain the evidence-grounded methods, tools, datasets, findings, and citation guidance.
2025 · ACM/SPEC International Conference on Performance Engineering (ICPE)
The paper applies graph attention networks to predict future interactions in microservice call graphs, supporting proactive monitoring.
Keywords: microservice call graphs · link prediction · graph attention networks · temporal segmentation · negative sampling
2024 · ACM/SPEC International Conference on Performance Engineering (ICPE) Companion
The paper combines an unsupervised GraphSAGE model with critical-path-specific latency profiles to detect anomalous requests and rank likely microservice culprits without labelled training data.
Keywords: latency culprit ranking · distributed traces · GraphSAGE · graph neural networks · critical path