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View Code? Open in Web Editor NEWA simple, efficient and effective Jacobi polynomial-based graph collaborative filtering algorithm.
License: MIT License
A simple, efficient and effective Jacobi polynomial-based graph collaborative filtering algorithm.
License: MIT License
Hi,
I recently read your novel work, but have some questions about Figure 2. I calculated the values of Jacobi Polynomial Bases (over ten points in the range of [-1, 1]):
Layer-0:
[1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
Layer-1:
[-2.0, -1.5555555820465088, -1.1111111640930176, -0.666666567325592, -0.22222226858139038, 0.22222226858139038, 0.666666567325592, 1.1111111640930176, 1.5555555820465088, 2.0]
Layer-2:
[3.0, 1.5185185670852661, 0.4074075222015381, -0.3333333730697632, -0.703703761100769, -0.703703761100769, -0.3333333730697632, 0.4074074625968933, 1.5185185670852661, 3.0]
Layer-3:
[-4.0, -0.9602195024490356, 0.46639204025268555, 0.7407405376434326, 0.3237311840057373, -0.323731392621994, -0.7407404184341431, -0.4663921892642975, 0.9602195024490356, 4.0]
Layer-4:
[5.0, 0.1348886489868164, -0.825331449508667, -0.18518459796905518, 0.5189761519432068, 0.5189759731292725, -0.18518538773059845, -0.8253315091133118, 0.13488838076591492, 5.0]
Layer-5:
[-6.0, 0.6252102851867676, 0.46486878395080566, -0.5185177326202393, -0.38622209429740906, 0.3862217962741852, 0.5185186266899109, -0.4648689031600952, -0.625209629535675, 6.0]
The results appear quite different to Figure 2 of which the values are no greater than 1. Could you share the code for plotting?
Thanks!
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