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.

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

Privacy-aware activity tracking system with semantic search, temporal graphs, and ML-based context prediction

A curated list of graph datasets of various types, including plaingraphs, attributed graphs, bipartite graphs, text-attributed graphs, multi-modal graphs, temporal graphs, etc.

The SQLite of context graphs : local-first decision trace engine with ONNX entity extraction. Single Rust binary, zero infrastructure.

Temporal graph model on DOM

Unified Parallel Semantic Log Parsing based on Causal Graph Construction for Attack Attribution

RAPTOR (Round-bAsed Public Transit Optimized Router) TypeScript implementation

Starter template for building LangGraph agents with real long-term memory using OpenMemory’s temporal graph.

GGames is a Python package that provides functions to study games on graphs that can be either static or time-varying.

This is a ready-to-go application to convert the LDBC FinBench dataset to a Gradoop TPGM graph.

Local Ollama agent with OpenMemory — persistent long-term memory powered by a temporal graph.

Vercel AI SDK starter with OpenMemory — persistent, local-first memory for chatbots and agents.

Bachelor's thesis on evaluating the efficiency of the graph analytics framework GRADOOP using LDBC's Financial Benchmark.

Exploratory Analysis of Wiki users using graphs

dependency propagation analyser on graphs

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