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Questions tagged [graphsage]

11 questions
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How to predict links between present and a new node with PyG/GraphSage autoencoder?

I am a newbee in the field of GNN and want to use PyTorch Geometric (PyG) to train a Graph Neural Network (GNN) to predict links (edges) between nodes in a graph using an autoencoder (with a modified version of the PyG link prediction example with…
feinheitsbrei
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IndexError: tuple index out of range in Graphsage

I'm trying to create a graph neural network, for edge prediction and got this error. Would really appreciate it if someone could help me out. from sklearn.metrics import roc_auc_score model =…
Charvi
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Neo4j GraphSage training does not log anything

I am working on extracting graph embeddings with training GraphSage algorihm. I am working on a large graph consisting of (82,339,589) nodes and (219,521,164) edges. When I checked with ":queries" command the query is listed as running. Algorithm…
ugurtosun
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Keras model predicting different outputs for the same input

I am using stellargraph for learning a GraphSage model. This is my code: num_samples = [10, 5] unsupervised_samples = UnsupervisedSampler(G,nodes=G.nodes(),length=10, number_of_walks=5) # Generate training data for the encoder model generator =…
Bob
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If graphSAGE can be converted to solve the regression problem?

I have tried to solve the node classification problems by graphSAGE and it works well on dataset Cora. Now I want to convert it to solve the regression problem, and I only change the loss function into torch.nn.MSE() without any change to other…
Echo Z
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(Very Intriguing Trial) GraphSAGE: Feature Request | Feature Instruction: Exploring the Feasibility of Implementing Asymmetric Node Feature Slicing

Currently, I am working on implementing GraphSage with DGL for an industrial node classification application. Here is a brief description of my scenario: In my application, each node in the graph has around 21 features associated with it. However,…
billz
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What to use a node feature on the hinSAGE algorithm?

I have a graph with this info: StellarDiGraph: Directed multigraph Nodes: 1417, Edges: 1988 Node types: ParagraphA: [429] Features: float32 vector, length 1417 Edge types: A-contains->D, A-contains->F, A-contains->E PrecedentB: [332] Features:…
Red Boraley
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How to use Apache spark to implement GraphSAGE?

I want to use scala and spark to implement Graph algorithm GraphSAGE, then how to do it? Is there any source code? I want to get the code for my question
zhangyuansen18
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Which algorithm/implementation is best for link prediction in an evolving heterogeneous knowledge graph?

I want to do link prediction in a heterogeneous knowledge graph which will be evolving over time. The entity types and relations will be the same. But there will be unseen nodes. I would like to know whether graphsage is the right choice for this…
myands
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Neo4j GraphSage: inconsistency between runs

On Neo4j, running gds.beta.graphSage.mutate yields inconsistent results: for the same model, a given node n gets different embeddings between runs. This happens despite the graph being constant (nodes, arcs, initial features, they are all the same…
molfab
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Convert a node with multiple attributes types (int, float, string) to an embedding using Neo4j and GraphSAGE?

If my nodes look like: {id: 1, name: "John", last_name: "Doe", age: 40, city: "New York", credit_score: 5.5} {id: 2, name: "Linda", last_name: "Lumbo", age: 32, city: "Washington", credit_score: 5.5} {id: 3, name: "Greg", last_name: "Tanta", age:…
SteveS
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