In this account we try to post the latest news and general information about graph neural networks and representation learning.
California
Joined July 2020
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Graph Neural Network retweeted
If you see me here posting about graphs and you’re new to data science, do not fret! I had ZERO idea what graphs were until a few months ago. But now I can’t imagine my ds work without them. Here is a simple (3 sentence) explanation to get you started: geeksforgeeks.org/graph-data…
Graph Neural Network retweeted
.@chamii22 's #KnowCon2020 #presentation "GraphEDM: A Unified Framework for #MachineLearning on #Graphs"; a compelling case about it's power to bridge #networkembedding & graph regularized #neuralnetworks
Talk 👉 knowledgeconnexions.world/ta…
Special Offers 👉 knowledgeconnexions.world/ch…
Graph Neural Network retweeted
GraphEDM encapsulates over thirty graph embedding methods: from graph regularization algorithms (Label Propagation, ...) to more recent advances such as random walks (DeepWalk, node2vec, ...) or GNNs (GCN, GAT, ...).
Graph Neural Network retweeted
Working with graph-structured data? Check out our recent survey for Machine Learning on Graphs:
arxiv.org/pdf/2005.03675.pdf
We propose a simple framework (GraphEDM) and a comprehensive Taxonomy to review and unify several graph representation learning methods.
Graph Neural Network retweeted
Alongside @pl219_Cambridge, I'll be teaching a Master's module on GNNs @Cambridge_Uni. Feels surreal to be on the (virtual) other side 😊
Based on @williamleif's book + my ongoing work w/ @joanbruna @mmbronstein @TacoCohen. Hope to release materials soon! cl.cam.ac.uk/teaching/2021/R…
Graph Neural Network retweeted
Structural role-based node embedding: extensive benchmarks, insights, and easy-to-use codebase. Led by undergrad alum Junchen Jin whose organization awes me 🙂 with Di Jin and @danaikoutra.
arxiv.org/abs/2101.05730
github.com/GemsLab/StrucEmbe…
Graph Neural Network retweeted
Excited to share that we are organizing a workshop on Graph Learning Benchmarks (GLB) at the WebConf 2021 (#WWW2021)! Submission due on Feb. 15, 2021.
Website: graph-learning-benchmarks.gi…
Joint w/ @jiong971, Yuxiao Dong, @danaikoutra, @meiqzh.
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Graph Neural Network retweeted
Thanks to #ICPR2020 Keynote Speaker Prof Max Welling @wellingmax ( @UvA_Amsterdam ) for the talk “Equivariant Graph #NeuralNetworks and their Applications” 1/14 3PM @underlineio #ICPR2020Milan #IAPR #PatternRecognition #MachineLearning #DeepLearning #AI
micc.unifi.it/icpr2020/index…
Graph Neural Network retweeted
Seven years ago, with Daniele, Pierre, and @omardrwch
we created "Graphs in Machine Learning" for master-mva.com, first of its kind. From now, the future is Daniele at bit.ly/38zjExn! All the past material: bit.ly/35wumTn @UnivParisSaclay @DeepMind
Graph Neural Network retweeted
#Eurographics2021 will feature a tutorial on Inverse Computational Spectral Geometry!
The presenters are @EmanueleRodola, Simone Melzi, Luca Cosmo (Sapienza University of Rome), @mmbronstein (Imperial College London), and Maks Ovsjanikov (LIX, Ecole Polytechnique, IP Paris)
Graph Neural Network retweeted
TGN (Temporal Graph Network) is now on Pytorch Geometric! Huge thanks @rusty1s for making this happen!
It is the first model for dynamic graphs in PyG. Let's hope to have many more in the future!
Example code: github.com/rusty1s/pytorch_g…
Original Paper: arxiv.org/abs/2006.10637
