2020年10月13日 · Is there a way to have a "smart initialization" with node2vec, i.e., to start the algorithm with an embedding that is not random but precomputed in a certain way? For instance, when I use the spring_layout from NetworkX, I pass the initialization via pos = my_initialization , and the computations are a lot faster.

2023年6月9日 · I am trying to visualize graph nodes using node2vec embedding. The node2vec embeddings has lengths of 50~100 dimensions. I have two plans: use umap to project node2vec embeddings to 2D space; use PCA to project node2vec embeddings to a slightly lower-D space (~30-50 dimensions), and then use umap for 2D space outputs. Which plan is better?

2023年8月20日 · Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

2021年5月24日 · Use a single Node2Vec run to learn the embedding vectors for all of the nodes in all networks, both labeled and unlabeled. Train a supervised machine learning algorithm using the output of step 1 and the known classes/continuous values.

2024年11月23日 · I am trying to test enhancing the prediction capabilities of traditional node-similarity algorithms, like the Jaccard Coefficient or Adamic Adar, with graph embeddings, like the Node2Vec. I think it makes sense because the traditional ones focus more on local topologies of the network, while the Node2Vec is better at understanding the global ...

I'm no expert myself, but recently (i.e. this is true to 2019), I've heard (at a meetup from an expert) that Node2Vec is the SOTA. Here's a link to a post on Medium explaining it - basically, Node2Vec generates random walks on the graph (with hyper-parameters relating to walk length, etc), and embeds nodes in walks the same way that Word2Vec ...

2016年10月18日 · Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

2019年12月23日 · Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.

2019年7月24日 · Concretely one is a skipgram word embedding, and the other is a node2vec graph embedding. I have approximately 30 000 training examples that provide a mapping between the two. Since they are both just real vectors, it seems like a trivial task to write a simple MLP that learns the non-linear transformation of one to the other (I actually don't ...

2024年12月13日 · I am trying to visualize graph nodes using node2vec embedding. The node2vec embeddings has lengths of 50~100 dimensions. I have two plans: use umap to project node2vec embeddings to 2D space use PCA ...