[D] Autoregressive model for graph generation?

• Graphormer

  3 1,902 5.5 Python

  Graphormer is a general-purpose deep learning backbone for molecular modeling.

  

Autoregressive models like GPT-2 do fairly well in text generation. Is it possible to do the same for graph data? A transformer based model Graphormer has recently shown its effectiveness in graph representation learning. Is there any way I can train Graphormer or any other model to generate graphs from an initial graph context?

• temporal-graph-gen

  3 15 0.0 Python

  Pre-trained models for our work on Temporal Graph Generation

• InfluxDB

  www.influxdata.com sponsored

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

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