JMLR'Improving Graph Neural Networks on Multi-node Tasks with the Labeling Trick', by Xiyuan Wang, Pan Li, Muhan Zhang.
http://jmlr.org/papers/v26/23-0560.html
#subgraph #nodes #hypergraphs
Kevin Karhan 
@soulexpress nodds in agreement
- EVERY SINGLE ONE OF THEM!
Like there's a reason I only got a copy of #SubgraphOS as non-public alpha under the precondition to not redistribute and was allowed to preview it because that thing was unstable and had a lot of known issues the devs were working on to get fixed.
- It's not as if they weren't aware of those, but they also didn't want "#TechIlliterates" using it with a false belief in it being ready to use and trust in.
Not shure how #Subgraph evolved after #grsecurity decided to #paywall access to the #sourcecodes of said #patches and #tools cuz those were used in said distro as a means to harden it.
- But then again the #grsec devs seem to be so toxic, their entire Wikipedia Article got nuked and only an old archive version exists.
Subgraph OS: das neue Linux für Paranoide? Preview - Februar 2016
'Random Subgraph Detection Using Queries', by Wasim Huleihel, Arya Mazumdar, Soumyabrata Pal.
http://jmlr.org/papers/v25/22-0395.html
#subgraph #graph #algorithms
Christian Boulanger@librerli @andreaswalker I joined the WikiData telegram channel - but maybe the question I asked there is also something worth discussing here: how do I best export a #subgraph from #wikidata to edit it for later re-import? Is that something people (should) do? If yes, what tools are best suited for the purpose? I looked at https://neo4j.com/labs/neosemantics/how-to-guide/ because I am familiar with #Neo4J, but I obviously don't know if that's the right path...
Published papers at TMLRSubgraph Permutation Equivariant Networks
Joshua Mitton, Roderick Murray-Smith
Action editor: Guillaume Rabusseau.
You Only Transfer What You Share: Intersection-Induced Graph Transfer Learning for Link Prediction
Wenqing Zheng, Edward W Huang, Nikhil Rao, Zhangyang Wang, Karthik Subbian
Action editor: Bo Han.
'Quantifying Network Similarity using Graph Cumulants', by Gecia Bravo-Hermsdorff, Lee M. Gunderson, Pierre-André Maugis, Carey E. Priebe.
http://jmlr.org/papers/v24/21-082.html
#subgraph #graph #similarity
New Submissions to TMLRUnlock the Black Box by Interpreting Graph Convolutional Networks via Additive Decomposition
Mohammad HajiaghayiNow (7pm ET Wed) watch https://youtu.be/FtibYzm2BzQ (FEEL FREE TO SUBSCRIBE TO YOUTUBE
@hajiaghayi
FOR FUTURE LESSONS) Lesson 17: Introduction to Algorithms by Mohammad Hajiaghayi: Introduction to #graphs and #networks: #tree #digraph #DAG #sparsegraph #densegraph #subgraph #walk
Lesson 17: Introduction to Algorithms by Mohammad Hajiaghayi: Introduction to Graphs and Networks
'Sampling random graph homomorphisms and applications to network data analysis', by Hanbaek Lyu, Facundo Memoli, David Sivakoff.
http://jmlr.org/papers/v24/20-449.html
#subgraph #graphs #adjacency
