Awesome papers about machine learning (deep learning) on dynamic (temporal) graphs (networks / knowledge graphs).
Distributed Temporal Graph Analytics with Apache Flink
Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.
privacy-first context graph engine for AI agents and human teams.
the 1st place of WSDM 2022 Challenge (Temporal Link Prediction)
Source code for paper "Towards Efficient Simulation-based Constrained Temporal Graph Pattern Matching"
Experiments Using Knowledge and Temporal Graphs
A curated list of graph datasets of various types, including plaingraphs, attributed graphs, bipartite graphs, text-attributed graphs, multi-modal graphs, temporal graphs, etc.
Privacy-aware activity tracking system with semantic search, temporal graphs, and ML-based context prediction
Temporal graph model on DOM
Unified Parallel Semantic Log Parsing based on Causal Graph Construction for Attack Attribution
Real-time global intelligence platform — OSINT monitoring + multi-agent predictive simulation in Gleam/OTP
RAPTOR (Round-bAsed Public Transit Optimized Router) TypeScript implementation
GGames is a Python package that provides functions to study games on graphs that can be either static or time-varying.
Starter template for building LangGraph agents with real long-term memory using OpenMemory’s temporal graph.
This is a ready-to-go application to convert the LDBC FinBench dataset to a Gradoop TPGM graph.
Vercel AI SDK starter with OpenMemory — persistent, local-first memory for chatbots and agents.
Local Ollama agent with OpenMemory — persistent long-term memory powered by a temporal graph.
Exploratory Analysis of Wiki users using graphs
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