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…
A bit old, but great survey! And it is now updated! This is one of those posts that worth going through the comments to find good reviews and comments. Thanks @chamii22
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
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.
1/4
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…
ICLR 2021 results are out!
Looking forward to the list of accepted papers to start generating those insightful figures.
Hopefully we will soon start to briefly review the accepted papers in this account.
#ICLR #ICLR2021 #GraphNN #GNN #GCN #RepresentationLearning #Graph
Congratulations to all authors of accepted #ICLR2021 papers! 🎉
Notifications are being sent out today. We had 2997 submissions, of which 860 papers have been accepted. Of these, there will be 53 Oral, 114 Spotlight and 693 Poster presentations.
ICLR-2021 #workshop?
"Geometrical and Topological Representation Learning" workshop submission is not open yet, but the suggested deadline by ICLR are:
Submission for contribution: 26 February 2021
Mandatory Accept/Reject Notification: Mar 26, 2021
gt-rl.github.io/
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)
-Slides emanuelerossi.co.uk/assets/p…
- Presentation youtube.com/watch?v=W1GvX2Zc…
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
(Lecture 2) Recent developments in GNNs, more toward theoretic problems, i.e. WL, expressive power, graph positional encoding, and link prediction.
youtube.com/watch?v=M60huxIv…
(Lecture 3) Benchmarking #GNNs, if you are working on a publication about #GNNs or applying them on your own problem, this is a must!
youtube.com/watch?v=tuChBSo8…