Indeed, graphs are a scam -- an invention from mathematicians to control people!

I can prove it -- it is well-known that data is truly i.i.d. (written in all machine learning textbooks).

So there exists no relationship between data and graph representation is just an illusion.

How dare you question the glory of GNNs!

Blasphemy!

For shame, non-believer! 😜

The first chapter & slides by Michael Bronstein and Petar Veličković are absolutely beautiful!

Notebooks for Lecture 4 on Graph SVM

Lab1: Standard/Linear SVM
github.com/xbresson/GML20…

Lab2: Soft-Margin SVM
github.com/xbresson/GML20…

Lab3: Kernel/Non-Linear SVM
github.com/xbresson/GML20…

Lab4: Graph SVM
github.com/xbresson/GML20…

Graph Machine Learning course

Lecture 4 presents Graph SVM 🌟

The celebrated Support Vector Machine (SVM) coupled with kernel method and graph Dirichlet regularization is one of the best classification models (in the absence of feature learning :)

storage.googleapis.com/xavierbresson/…

Notebooks for Lecture 3 on Graph Clustering

Lab1: k-means
github.com/xbresson/GML20…
github.com/xbresson/GML20…

Lab2: Metis
github.com/xbresson/GML20…

Lab3/4: NCut/PCut
github.com/xbresson/GML20…
github.com/xbresson/GML20…

Lab5: Louvain
github.com/xbresson/GML20…

Lecture 3 reviews Graph Clustering 🌟

Clustering is a cornerstone topic that beautifully connnects combinatorial optimization, continuous optimization, graph theory and spectral theory.

storage.googleapis.com/xavierbresson/…

MDPI has just extended an invitation to join one of their journal editorial boards!

Should I inquire about receiving a percentage of the 1600CHF fee each time a paper is accepted as an Associate Editor? If yes, how much should I negotiate, at least 50%? 😁😂

An article processing charge of 1600 CHF (~ 1770 USD) applies to papers accepted after peer review ...

ICML Reviewer2

'The paper is well-structured and easy to follow' ⇒ Presentation: 1 poor

'.. is a significant contribution' ⇒ Contribution: 2 fair

'Due to my limited time to review, I did not catch up with the most novel point in the paper' ⇒ Rating: 1 Very Strong Reject

😞

GNN+TSP+Genome 🚀

We have pioneered a graph learning approach for genome reconstruction, marking a significant milestone in AI+Biology.

Great interdisciplinary team, with Lovro Vrček at the helm!

Paper, code, data have been released to empower further progress. 👇

Our latest paper, G-Retriever, w/ Xiaoxin He Bryan Hooi Yann LeCun and collaborators is out!

We introduce a technique that can response to questions about graphs.

For an engaging introduction to our work, dive into the brilliant blog post by Xiaoxin He

medium.com/@xxhe/graph-re…

I was in a bike accident last Thu and badly broke my knee.

I'm scheduled for surgery tmw, and it will take at least 1.5 months of immobilization.

I'll miss out on some great events in the coming months :(

Our GitHub repo Awesome-Graph-LLM: github.com/XiaoxinHe/Awes…, has received 1k+ stars! 🌟A huge thank you to everyone who has supported and contributed. Let's keep pushing the boundaries of Awesome-Graph-LLM together!

Register for the workshop on LLMs, GNNs and Foundation Models -- it will be exciting!
The Web Conference #WebConference2024 👇

😂

Check out the latest work at ICLR 2024 on learning on graphs:
github.com/XiaoxinHe/iclr…

Sharing my slides for the workshop 'AI for Science in Singapore'
dropbox.com/scl/fi/fyz47t3…

Notebooks for Lecture 2 on Graph Science

Lab1: Generate LFR social networks
github.com/xbresson/GML20…

Lab2: Visualize spectrum of point cloud & grid
github.com/xbresson/GML20…

Lab3/4: Graph construction for two-moon & text documents
github.com/xbresson/GML20…
github.com/xbresson/GML20…

Favorite feedbacks from Reviewer 2 (parody) :