#graphML
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tiago.skewed.de
As before, the website is meant to be browsed both by humans and machines alike, and can also be accessed via a JSON API, or via the @graph-tool.skewed.de library. The network datasets themselves are available in several machine-readable formats, in particular gt, GraphML, GML and CSV. 3/4
November 3, 2026 at 8:04 AM
stabihh.bsky.social
Darunter zehntausende Urteile des BVerfG, BGH, BVerwG, BPatG, BAG, IGH und StIGH, deutsche Bundesgesetze-/verordnungen, Parlamentsprotokolle & Drucksachen des Bundestages, sowie völkerrechtl. Verträge.
#OpenSource mit vollautomatis. Pipelines
✅️ Formate: CSV, Parquet, HTML, XML, GraphML, PDF, TXT
2/2
October 30, 2026 at 12:56 PM
hannahrrativ.bsky.social
7:11. Die ganze Stadt schläft...
Die ganze Stadt? Nein!
Eine tapfere Linguistikstudentin sitzt - bereits geduscht und angezogen - mit Kaffee und Tee am PC und versucht, die von ihr erstellten Annotationen in ein Korpus einzuspeisen und als graphML zu exportieren. Wird unsere Antiheldin es schaffen?
October 23, 2026 at 5:16 AM
gp-pulipaka.bsky.social
Graph ML: Graph ML with GraphStorm! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Programming #Coding #100DaysofCode
geni.us/GraphML-Grap...
October 15, 2026 at 6:42 AM
jennylist.bsky.social
Just a reminder and to hang up my shingle, I can create network graphs for any online visible network. Anything: your local tech cluster, your target market, your professional field, or a subset of politics like the one the screen grab below is just a very small part of. Linked data and GraphML.
jennylist.bsky.social Jenny List @jennylist.bsky.social · Oct 6
I'm just going to leave this here, it's a network graph showing Mary-Ann's connections in the gender-critical world. Given that she's already deeply embedded in anti-trans activity, it's difficult to judge her on anything but that.
October 7, 2026 at 6:50 PM
jennylist.bsky.social
It's a javascript viewer for a GraphML network.
October 6, 2026 at 3:13 PM
dataprismai.bsky.social
New arXiv analysis of 37 graph-based cyber attack detection studies (2019–2026) finds automated representation learning dominates at 73.0%, versus 27.0% handcrafted strategies, highlighting a clear shift toward learned…

#AI #CyberSecurity #GraphML #DataScience
https://arxiv.org/abs/2610.04019
October 6, 2026 at 8:01 AM
futuregearai.bsky.social
Plain Transformers can rival Graph Neural Networks on link prediction by attending to sampled subgraphs, offering a scalable alternative without heavy structural encodings. arXiv:2602.01553

#AI #GraphML #Transformers
https://arxiv.org/abs/2602.01553
September 29, 2026 at 12:01 PM
leuc.github.io
Explore 1.6 million diplomatic cables in 3D

The "Central Foreign Policy File" reference graph is available for download as GraphML
archive.org/details/cfpf...

Load GraphML into igraph-vlk - 3D graph exploration for the desktop
github.com/leuc/igraph-...

Open Source Code & Public Domain Data 🗃️ 📊
September 5, 2026 at 11:55 PM
sluagh.bsky.social
Man. Immer, wenn man was interessantes macht, fliegt die Zeit. Schreibe gerade ein AWK script, um aus DDLs CSV-Dateien zu machen, mit denen man ein graphml Modell mit Gruppen und Joins erstellen kann. Quasi Datenbank-Dokumentation.
September 25, 2024 at 5:32 PM
seanmhoban.bsky.social
Error installing a #rstats package? Try installing it from @github https://stackoverflow.com/questions/45318188/getting-error-in-function-igraph-write-graph-graphml-while-installing-igrap/45362040#comment77805669_45362040
May 23, 2025 at 11:32 AM
davidciani.com
Why do people have non-printable control characters in their #bsky description fields? Trying to find the needle in the haystack thats preventing me from writing the GraphML xml file.

#atproto
November 6, 2025 at 7:36 PM
mingxunwang.bsky.social
LOL - fun problem to have. I think this might be possible - I think the main graphml, we'll just need to get the actual task and display title.
May 28, 2025 at 3:35 AM
itr.bsky.social
I use NetworkX to generate the core graph data and save it as a .gexf file. Then I load it up in Gephi to generate to use their layout and coloring algorithms, and save that as a .graphml file. And lastly I load that using NetworkX and draw it using a mix of Pillow and MatPlotLib for the left image.
November 17, 2024 at 10:32 AM
tempgraphrg.bsky.social
Hi!
This thursday, nov 21st, 11am EST, Rishabh Ranjan will present:
RELBENCH: A Benchmark for Deep Learning on Relational Databases (NeurIPS 2024 Datasets and Benchmarks Track)
🎈
Join on zoom (link on website)

arxiv.org/pdf/2407.20060

#graphml #machinelearning #temporalgraphs #neurips
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
Much of the world’s most valued data is stored in relational databases and data warehouses, where the data is organized into tables connected by primary-foreign key relations. However, building mac...
proceedings.mlr.press
November 18, 2024 at 3:35 PM
panisson.bsky.social
Check out our poster at #LoG2024, based on our #TMLR paper:
📍 “A True-to-the-Model Axiomatic Benchmark for Graph-based Explainers”
🗓️ Tuesday 4–6 PM CET
📌 Poster Session 2, GatherTown
Join us to discuss graph ML explainability and benchmarks
#ExplainableAI #GraphML
openreview.net/forum?id=HSQTv3R8Iz
A poster with a light blue background, featuring the paper with title: “A True-to-the-Model Axiomatic Benchmark for Graph-based Explainers”. Authors: Corrado Monti, Paolo Bajardi, Francesco Bonchi, André Panisson, Alan Perotti Background Explainability in GNNs is crucial for enhancing trust understanding in machine learning models. Current benchmarks focus on data, ignoring the model’s actual decision logic, leading to gaps in understanding. Furthermore, existing methods often lack standardized benchmarks to measure their reliability and effectiveness. Motivation Reliable, standardised benchmarks are needed to ensure explainers reflect the internal logic of graph-based models, aiding in fairness, accountability, and regulatory compliance. Research Question If a model M is using a protected feature f , for instance using the gender of a user to classify whether their ads should gain more visibility, is a given explainer E able to detect it? Core Idea An explainer should detect if a model relies on specific features for node classification. Implements a “true-to-the-model” rather than “truth-to-the-data” logic. Key Components White-Box Classifiers: Local, Neighborhood, and Two-Hop Models with hardcoded logic for feature importance. Axioms: an explainer must assign higher scores to truly important features. Findings: Explainer Performance Deconvolution: Perfect fidelity but limited to GNNs. GraphLIME: Fails with non-local correlations and high sparsity. LRP/Integrated Gradients: Struggle with zero-valued features. GNNExplainer: Sensitive to sparsity and edge masking. Real-World Insights: Facebook Dataset Fidelity in detecting protected feature use in classification. Results for different explainers, highlighting strengths and limitations. Contributions: Proposed a rigorous framework for benchmarking explainers Demonstrated practical biases and flaws in popular explainers
November 26, 2024 at 5:27 PM
miriamposner.com
Is there a way to just view a gexf or graphML network online, since Retina seems to...not work?
January 21, 2025 at 7:31 PM
getnews-me.bsky.social
City‑Networks offers over 100 k road‑intersection nodes, pushing models to capture long‑range graph info, and adds a metric using output Jacobians of distant neighbors. Read more: https://getnews.me/large-scale-graph-dataset-measures-long-range-interactions/ #citynetworks #graphml #longrange
Large-Scale Graph Dataset Measures Long-Range Interactions
October 6, 2025 at 1:20 PM
getnews-me.bsky.social
Graph‑machine‑learning with Graph Autoencoders can detect hidden transaction patterns, and early results say it outperforms rule‑based fraud detection. Read more: https://getnews.me/graph-machine-learning-boosts-detection-of-financial-crime-patterns/ #graphml #frauddetection #fintech
Graph Machine Learning Boosts Detection of Financial Crime Patterns
September 18, 2025 at 10:39 AM
tomsawyersoftware.bsky.social
Want to simplify your data analysis? Dr. Ashleigh Faith breaks down how Tom Sawyer Software's suite empowers you to use graphML effortlessly. No coding? No problem! Watch her insightful review and unlock your data's potential: www.youtube.com/watch?v=1-AZ... #GraphML #TechReview
Knowledge Graph Technology Showcase for Tom Sawyer Software.
March 28, 2025 at 12:02 AM
lw-smiley.bsky.social
Up from my short nap. How goes it? Funny that Nana(Irish?) and aunts were major Anglophiles. There are Bond's(even a James) in that Debrett's(no notables). I did some half assed research on Ancestry.com. Basically copying other's research into mine. Made a huge tree in graphml and .ged files.
January 31, 2025 at 10:15 AM
logml.bsky.social
📣 LOGML'26 Speaker Series

🎤 Soledad Villar @soledadvillar.bsky.social (Johns Hopkins)

Her research spans equivariant ML, GNNs, with applications to computational biology.

📍 Imperial College London
📅 13–17 July 2026
🔗 www.logml.ai

#LOGML #GraphML #GeometricDeepLearning #SummerSchool
May 20, 2026 at 4:00 AM
logml.bsky.social
📣 LOGML 2026 Speaker Series

🎤 Dorina Thanou (EPFL)
Works on graph signal processing and ML, focusing on interpretable, robust models for biomedicine and AI for health.

🔗 Apply: forms.gle/RjxJHCdKVJF4...
🔗 Explore speakers: www.logml.ai/speakers/

⏳ Deadline: 10 May 2026

#LOGML #Geometry #GraphML
May 4, 2026 at 11:05 AM
logml.bsky.social
LOGML 2026 mentor applications are still open!
Deadline extended to 22 March 2026(AoE).

Mentor a small team at Imperial College London during 13–17 July'26.

Travel/accommodation support available.

🔗 logml.ai/apply.html

#LOGML #GeometricDeepLearning #GraphML #MachineLearning
LOGML 2026
London Geometry and Machine Learning Summer School, July 13-17 2026
logml.ai
March 17, 2026 at 9:39 AM
agmlego.bsky.social
...am I playing Factorio wrong? I find myself ankle-deep (the wrong way) in GraphML and networkit to answer questions like "what is the best surface to get cryonite from?", "what is the most central location to the system to build the science platform?", etc.
April 20, 2026 at 2:13 AM