NetworkX (@networkx_team) 's Twitter Profile
NetworkX

@networkx_team

Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.

ID: 1512746907772375041

linkhttp://networkx.org calendar_today09-04-2022 10:59:15

46 Tweet

2,2K Followers

23 Following

Markus J. Buehler (@profbuehlermit) 's Twitter Profile Photo

Thank you Anthony Alcaraz for highlighting our work on scientific LLMs, Knowledge Graphs and multi-agent modeling: medium.com/@alcarazanthon… Medium Hugging Face This research is made possible by powerful tools developed by LlamaIndex 🦙, NebulaGraph, NetworkX, Meta, and

Python Software Foundation (@thepsf) 's Twitter Profile Photo

Software Bill-of-Materials (SBOM) documents are now available for CPython source artifacts! 🥳 #python #cpython #sbom pyfound.blogspot.com/2024/02/softwa…

Scientific Python (@scientific_py) 's Twitter Profile Photo

🚀 Exciting news from NumPy! Two new C APIs—DType & ArrayMethod—are now publicly exposed, allowing for easier creation of new DTypes & sharing of low-level loops across projects. This is the culmination of several years of work! 🎉  Read more at buff.ly/3I3dvuf

Mridul Seth (@mridul_seth) 's Twitter Profile Photo

Super excited to present our recent work at NVIDIA GTC on making NetworkX go 🚀🚀🚀 with GPUs. Now you can use the friendly python NetworkX API *and* get the performance of a GPU! Look out for the "Accelerating NetworkX: The Future of Easy Graph Analytics" talk at GTC!

NVIDIA HPC Developer (@nvidiahpcdev) 's Twitter Profile Photo

At #PyConUS, learn about the power of #GraphAnalytics and how to accelerate #NetworkX to extract information from data faster. 🎤Discussion with NetworkX Mridul Seth and our own Erik Welch ➡️ nvda.ws/3ygkChc 📆 May 18, 2:30-3 p.m.

At #PyConUS, learn about the power of #GraphAnalytics and how to accelerate #NetworkX to extract information from data faster.

🎤Discussion with <a href="/networkx_team/">NetworkX</a> Mridul Seth and our own Erik Welch 
➡️ nvda.ws/3ygkChc 
📆 May 18, 2:30-3 p.m.
Scientific Python (@scientific_py) 's Twitter Profile Photo

🙏 Thanks to everyone who attended the Scientific Python Developer Summit last week! We had a blast and accomplished so much work to enhance the ecosystem. 🚀 Looking forward to more collaborative successes! 🙌

🙏 Thanks to everyone who attended the Scientific Python Developer Summit last week! We had a blast and accomplished so much work to enhance the ecosystem. 🚀 Looking forward to more collaborative successes! 🙌
Szabolcs Horvát (@szhorvat) 's Twitter Profile Photo

Lots of ideas at the discussion during the first ever Software Tools for Network Science NetSci 2025 satellite yesterday, and great talks by Fabian Brandt-Tumescheit (NetworKit), @narnolddd (Raphtory), @nwlandry (XGI - compleX Group Interactions), Matthew Treinish (rustworkx / Qiskit), Cazabet Rémy, and Josef Hoppe!

Lots of ideas at the discussion during the first ever Software Tools for Network Science <a href="/NetSciConf/">NetSci 2025</a> satellite yesterday, and great talks by <a href="/fabratu/">Fabian Brandt-Tumescheit</a> (NetworKit), @narnolddd (<a href="/raphtory/">Raphtory</a>), @nwlandry (<a href="/xginets/">XGI - compleX Group Interactions</a>), Matthew Treinish (rustworkx / <a href="/qiskit/">Qiskit</a>), <a href="/yquetzal/">Cazabet Rémy</a>, and Josef Hoppe!
Jan-Hendrik Müller (@kolibril13) 's Twitter Profile Photo

Here’s a proof of concept showing how data calculated in Python can be used in Blender. #Blender can process the received data with custom geometry nodes, custom shaders and full 3D interactivity. This minimal example uses @networkX in Project Jupyter. Learn more in this thread🧵

NetworkX (@networkx_team) 's Twitter Profile Photo

More NetworkX Backends! ArangoDB & NVIDIA have released the ArangoDB Backend to NetworkX! We can now persist & maintain NetworkX Graphs in ArangoDB, the multi-model database for Graphs & Beyond. arangodb.com/introducing-th… Checkout github.com/arangodb/nx-ar…

NVIDIA AI Developer (@nvidiaaidev) 's Twitter Profile Photo

📣 Just announced: NetworkX accelerated by NVIDIA cuGraph is generally available, bringing speed and scale to the most popular #Python graph analytics library. 👀 Experience up to 500x speedups on large graph workloads in NetworkX with zero code changes. Tech blog ➡️

📣 Just announced: NetworkX accelerated by NVIDIA cuGraph is generally available, bringing speed and scale to the most popular #Python graph analytics library.

👀 Experience up to 500x speedups on large graph workloads in NetworkX with zero code changes.

Tech blog ➡️
NVIDIA AI Developer (@nvidiaaidev) 's Twitter Profile Photo

🎊 As of today, high performance large graph analytics in NetworkX is possible with zero code changes. The NVIDIA cuGraph backend brings in-memory GPU acceleration to over 60 NetworkX algorithms, with more on the way, resulting in up to 50-500x speedups on large graphs. 📝Tech