Open rjurney opened 1 year ago
@ThePigLA Some papers related to [Neural Subgraph Matching(https://arxiv.org/abs/2007.03092) are:
@ThePigLA check it out - there is code!
https://github.com/snap-stanford/neural-subgraph-learning-GNN
@ThePigLA I had the url for the code wrong. I edited it in place, but it is: https://github.com/snap-stanford/neural-subgraph-learning-GNN
Motif search for heterogeneous networks - especially temporal heterogeneous networks - has fundamental scalability challenges. Neural Subgraph Matching proposes a technique using graph representation learning and vector search called NeuroMatch. NeuroMatch is an efficient neural approach for subgraph matching.
The source code for NeuroMatch is at github.com/snap-stanford/neural-subgraph-learning-GNN.
FAISS and Distributed FAISS
If the code doesn't scale, is this something we could implement using FAISS and Distributed FAISS?