Adrian Arnaiz
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adri-arnaiz.bsky.social
Adrian Arnaiz
@adri-arnaiz.bsky.social
Postdoc at @ellisalicante.org
🎓 PhD in CS at @ellis.eu Alicante
⚖️ Algorithmic Fairness and Trustworthy AI
🕸️ Graph Neural Networks

🌐 https://adrian-arnaiz.netlify.app/
I've defended my PhD 🎓🙂

Huge thanks to @nuriaoliver.com for her guidance over these years and to the committee @ccattuto.bsky.social , Isabel Valera, and G. González Serrano for their time, insights, and an inspiring discussion 🙏

Excited for what's coming next!
October 7, 2025 at 1:26 PM
Reposted by Adrian Arnaiz
📢 The latest EU Tech Policy Brief is here!

In this edition:

⚖️ Joint letter to EU Commission & MSs on the #AIAct ’s implementation

👁️ Danish Presidency’s proposal on EU #CSAR raising concerns on #encryption

💬 Our response to the Gender Equality Strategy’s consultation

👇 More about EU tech policy:
EU Tech Policy Brief: September 2025
Welcome back to the Centre for Democracy & Technology Europe‘s Tech Policy Brief! This edition covers the most pressing technology and internet policy issues under debate in Europe and gives CDT’s per...
cdt.org
September 30, 2025 at 2:46 PM
Reposted by Adrian Arnaiz
Ladies and gentlemen, the generative AI industry:
September 7, 2025 at 12:54 PM
Reposted by Adrian Arnaiz
No to simplification of EU digital laws

Weakening the AI Act would undermine accountability, the protection of society and workers and bring legal uncertainty

I have co-signed the letter led by @cdteu.bsky.social 👇🏼
⏰ Today, CDT Europe, together with 51 experts, academics & civil society organisations, sent an open letter to the European Commission to express our concerns regarding the forthcoming Digital Simplification package, which could include revisiting the AI Act.

👇🏻 Read the full letter on our website:
Open Joint Letter against the Delaying and Reopening of the AI Act
CDT Europe, alongside the European Consumer Organisation (BEUC), European Digital Rights (EDRi) and the European Centre for Not-for-Profit Law (ECNL), co-drafted a letter signed by 52 civil society or...
cdt.org
July 9, 2025 at 3:59 PM
Reposted by Adrian Arnaiz
The Code of Practice is out. I co-wrote the Safety & Security Chapter, which is an implementation tool to help frontier AI companies comply with the EU AI Act in a lean but effective way. I am proud of the result!
1/3
July 10, 2025 at 11:53 AM
Reposted by Adrian Arnaiz
A huge milestone was achieved today in the EU towards our common understanding of risks in the online world. If you are a researcher interested in studying societal risks related to very large online platforms and search engines, this is for you!
#DSA
digital-strategy.ec.europa.eu/en/news/comm...
Commission adopts delegated act on data access under the Digital Services Act
The delegated act on data access under the Digital Services Act enables researchers to obtain unprecedented access to platforms’ internal data to contribute to a safer online world.
digital-strategy.ec.europa.eu
July 2, 2025 at 8:47 PM
Reposted by Adrian Arnaiz
Needing a permanent doi was a forcing function to revisit this article on Transformers and Graph Neural Networks: arxiv.org/abs/2506.22084

This is (very) old news, so what's new?
June 30, 2025 at 9:22 AM
Had a great time presenting our work at @icwsm.bsky.social on measuring and mitigating structural social capital disparities in social networks 🕸️

Really appreciated the thoughtful feedback and the chance to connect with such an amazing community!

📄 Read the paper: ojs.aaai.org/index.php/IC...
June 27, 2025 at 12:29 PM
This paper reflects my and @federico-errica.bsky.social's thoughts on some current GNNs issues (like OSM/OSQ) after spending some time working on them. We also tried to capture concerns that we've seen echoed by parts of the community.

P.S. I thought I had all these issues figured out too 😅
June 11, 2025 at 7:10 AM
Reposted by Adrian Arnaiz
@neuripsconf.bsky.social what is going on...

We were desk-rejected from NeurIPS for dubious reasons, but that is not going to stop us 🌶️

arxiv.org/abs/2505.15547
Oversmoothing, "Oversquashing", Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning
After a renaissance phase in which researchers revisited the message-passing paradigm through the lens of deep learning, the graph machine learning community shifted its attention towards a deeper and...
arxiv.org
June 3, 2025 at 8:50 AM
Reposted by Adrian Arnaiz
Adrian Arnaiz-Rodriguez, Federico Errica: Oversmoothing, "Oversquashing", Heterophily, Long-Range, and more: Demystifying Common Beliefs in Graph Machine Learning https://arxiv.org/abs/2505.15547 https://arxiv.org/pdf/2505.15547 https://arxiv.org/html/2505.15547
May 22, 2025 at 6:16 AM
Reposted by Adrian Arnaiz
After a break in April we welcome all of you to the next session of GLOW🌟 next week!

Join and interact with our speakers Christian Koke (scale in GNNs) and Yonatan Sverdlov (sparse geometric MPNNs).

🗓️ May 28th, 5pm CEST on Zoom.

🌐 Details & sign-up: sites.google.com/view/graph-learning-on-weds.
May 25, 2025 at 1:02 PM
Reposted by Adrian Arnaiz
I've recently put together a "Fairness FAQ": tinyurl.com/fairness-faq. If you work in non-fairness ML and you've heard about fairness, perhaps you've wondered things like what the best definitions of fairness are, and whether we can train algorithms that optimize for it.
March 17, 2025 at 2:39 PM
Reposted by Adrian Arnaiz
Have you ever been curious to try Causal Normalizing Flows for your project but found them intimidating? Say no more 😜

I just released a small library to easily implement and use causal-flows:

github.com/adrianjav/ca...
GitHub - adrianjav/causal-flows: CausalFlows: A library for Causal Normalizing Flows in Pytorch
CausalFlows: A library for Causal Normalizing Flows in Pytorch - adrianjav/causal-flows
github.com
February 13, 2025 at 5:54 PM
If you are interested in contributing to the Graph Learning community, joining the LoG organising team is a great way to do it! 🧠🕸️
🚨 We’re recruiting organizers for LoG 2025!

Join us in shaping the next Learning on Graphs conference at UCLA this fall.

Passionate about graph ML & building community? Apply by Apr 11 (AOE) 🌍

📋 Form: docs.google.com/forms/d/e/1F...

🏠LoG website: logconference.org
LinkedIn
This link will take you to a page that’s not on LinkedIn
lnkd.in
April 2, 2025 at 10:01 AM
Reposted by Adrian Arnaiz
🚨 We’re recruiting organizers for LoG 2025!

Join us in shaping the next Learning on Graphs conference at UCLA this fall.

Passionate about graph ML & building community? Apply by Apr 11 (AOE) 🌍

📋 Form: docs.google.com/forms/d/e/1F...

🏠LoG website: logconference.org
LinkedIn
This link will take you to a page that’s not on LinkedIn
lnkd.in
April 2, 2025 at 9:27 AM
Reposted by Adrian Arnaiz
Want to know about the current understanding of the generalization abilities of GNNs? Please have a look at our survey paper arxiv.org/abs/2503.15650.

Joint work with Antonis Vasileiou, Stefanie Jegelka, and Ron Levie.
March 21, 2025 at 8:05 AM
Reposted by Adrian Arnaiz
Our work, "Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning" (w\ Miguel Angel Lozano, Novi Quadrianto, and @nuriaoliver.com ) is now published at @ieeeaccess.bsky.social: ieeexplore.ieee.org/document/109...
Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning
Federated Learning (FL) has been proposed as a privacy-preserving solution for distributed machine learning, particularly in heterogeneous FL settings where clients have varying computational capabili...
ieeexplore.ieee.org
March 11, 2025 at 3:38 PM
Reposted by Adrian Arnaiz
We welcome continued feedback and discussion as we head into the final stages of drafting.
The 3rd draft of the EU's GPAI Code of Practice has just been published. It provides clarity on a way to comply with the EU AI Act. I've been co-chairing the Safety & Security Section, focused on managing risks at the frontier of AI development. Full text: code-of-practice.ai?section=safe...
EU AI Act: General-Purpose AI Code of Practice · Draft 3
code-of-practice.ai
March 11, 2025 at 2:57 PM
Reposted by Adrian Arnaiz
🌟Applications open- LOGML 2025🌟

👥Mentor-led projects, expert talks, tutorials, socials, and a networking night
✍️Application form: logml.ai
🔬Projects: www.logml.ai/projects.html
📅Apply by 6th April 2025
✉️Questions? logml.committee@gmail.com

#MachineLearning #SummerSchool #LOGML #Geometry
LOGML 2025
London Geometry and Machine Learning Summer School, July 7-11 2025
logml.ai
March 11, 2025 at 3:25 PM
Reposted by Adrian Arnaiz
"Urban Highways Are Barriers to Social Ties" out on PNAS!
The 1st large-scale measure of how highways weaken social connections between the communities they separate. This barrier effect is strong in the 50 largest US cities--especially for low-income Black communities.
www.pnas.org/doi/10.1073/...
March 5, 2025 at 7:08 AM
Reposted by Adrian Arnaiz
12 mandatory free-text input fields in the review form for ICML? Really?
March 4, 2025 at 10:37 AM
Reposted by Adrian Arnaiz
I am hiring for a Ph.D. student to work in the areas of social network analysis, algorithms and fair machine learning.

Please apply and join our highly motivated team.

For more information please see the call: neumannstefan.com/hiring/
Call for Doctoral Students in Social Network Analysis, Algorithms and Fair Machine Learning
neumannstefan.com
January 29, 2025 at 12:57 PM
Reposted by Adrian Arnaiz
GLOW is back this Wednesday, Feb 19th, 5pm CET 🌟

Instead of talks, we’re hosting a casual discussion on where graph learning is headed and where early-career researchers can make the most impact. Join our open conversation with junior and senior graph researchers!

sites.google.com/view/graph-l...
February 17, 2025 at 5:22 PM
Reposted by Adrian Arnaiz
And so we set out to understand _feedforward_ graphs (i.e. graphs w/o back edges) ⏩

Turns out these graphs are rather understudied for how often they are used in practice! 😮

We work towards a framework to analyse them, which I hope both my GNN and my LLM friends will enjoy 🚀
February 11, 2025 at 10:12 AM