Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities

Geewook Kim, Akifumi Okuno, Kazuki Fukui +1

We propose $\text{weighted inner product similarity}$ (WIPS) for neural network-based graph embedding. In addition to the parameters of neural networks, we optimize the weights o…