Graph Embeddings

Strain Elevation Tension Spring embedding

SETSe is a deterministic physics based graph embedding algorithm. It embeds weighted feature rich networks. It treats each edge as a spring and each node as a bead whose movement is constrained by the graph adjacency matrix so that the nodes move in parallel planes enforcing a minimum distance between neighboring nodes. The node features act as forces moving the nodes up and down. The network converges to the embedded state when the force produced by each node is equal and opposite to the sum of the forces exerted by its edges, creating a net force of 0.

SETSe has no conventional loss function and does not attempt to place similar nodes close to each other.


Paper Code Results Date Stars


Task Papers Share
Graph Embedding 1 50.00%
Time Series Analysis 1 50.00%


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign