google-deepmind/graph_nets
Build Graph Nets in Tensorflow observed · 2026-08-28
Health v2 · maintenance only
32/100
- Activity 0
- Release rhythm 35
- Longevity 100
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 2924
- days_rel: n/a
- days_push: 1360
- n_releases_24m: 0
Adoption not part of the score
5406 stars · 778 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
DeepMind's library for building graph networks (graph neural networks) in TensorFlow and Sonnet, based on the 'Relational inductive biases, deep learning, and graph networks' paper. It takes graphs as input and returns graphs with updated edge, node, and global attributes.
Use cases
- build graph neural networks in tensorflow
- train a model to find shortest paths on graphs
- predict physical dynamics of particle systems
- learn to sort graph-structured data
- implement message-passing neural networks
- experiment with relational inductive biases in deep learning
When to choose
- you want DeepMind's reference implementation of graph networks
- your project already uses TensorFlow 1/2 and Sonnet
- you need graph-to-graph models with edge, node, and global attributes
- you want demo notebooks for shortest path, sorting, and physics tasks
When to avoid
- you prefer PyTorch or JAX ecosystems (consider jraph instead)
- you need actively maintained software with recent releases
- you need TF 1.x compatibility beyond v1.0.4 of the library
Facets
library · maturity maintenance
deep-learning machine-learning deep-learning machine-learning artificial-intelligence python graph-neural-networks tensorflow sonnet graph-networks relational-reasoning linux macos gpu
6 sources
- readme: https://github.com/google-deepmind/graph_nets · fetched 2026-08-28 · 42991775aeab
- homepage: https://arxiv.org/abs/1806.01261 · fetched 2026-08-29 · 81e01fdd67dd
- site_page: https://info.arxiv.org/about/donate.html · fetched 2026-08-29 · cca9c3a11c56
- site_page: https://info.arxiv.org/about/ourmembers.html · fetched 2026-08-29 · 47cbc55ff1de
- site_page: https://info.arxiv.org/about · fetched 2026-08-29 · a1f16f915a9a
- site_page: https://info.arxiv.org/labs/index.html · fetched 2026-08-29 · b14a8d05a0ec
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| google-deepmind/graph_nets | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="google-deepmind/graph_nets")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem