sˈɪns mˈʌtʃ ʌvðə θˈiəɹi ʌv ɡˈeɪn ɡɹˈæfz ɪz ɐ spˈɛʃəl kˈeɪs ʌv ðæt ʌv bˈaɪəst ɡɹˈæfz ænd mˈʌtʃ ʌvðə θˈiəɹi ʌv bˈaɪəst ɡɹˈæfz ɪz ɐ dʒˌɛnɚɹəlᵻzˈeɪʃən ʌv ðæt ʌv ɡˈeɪn ɡɹˈæfz, ðə ɹˈiːdɚ ʃˌʊd ɹᵻfˈɜː tə ðɪ ˈɑːɹɾɪkəl ˌɔn bˈaɪəst ɡɹˈæfz fɔːɹ mˈoːɹ ˌɪnfɚmˈeɪʃən ænd ɛɡzˈæmpəlz.
Since much of the theory of gain graphs is a special case of that of biased graphs (and much of the theory of biased graphs is a generalization of that of gain graphs), the reader should refer to the article on biased graphs for more information and examples.