Learning Graph Representations with Embedding Propagation
نویسندگان
چکیده
Label Representations • Let l ∈ Rd be the representation of label l, and f be a differentiable embedding function • For labels of label type i, we apply a learnable embedding function l = fi(l) • hi(v) is the embedding of label type i for vertex v: hi(v) = gi ({l | l ∈ labels of type i associated with vertex v}) • h̃i(v) is the reconstruction of the embedding of label type i for vertex v: h̃i(v) = g̃i ({l | l ∈ labels of type i associated with the neighbors of vertex v}) Node Representations
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