notesum.ai
Published at November 27MM-Path: Multi-modal, Multi-granularity Path Representation Learning -- Extended Version
cs.LG
cs.AI
Released Date: November 27, 2024
Authors: Ronghui Xu1, Hanyin Cheng1, Chenjuan Guo1, Hongfan Gao1, Jilin Hu1, Sean Bin Yang2, Bin Yang1
Aff.: 1East China Normal University; 2Chongqing University of Posts and Telecommunications

| Methods | Aalborg | Xi’an | ||||||||||
| Travel Time Estimation | Path Ranking | Travel Time Estimation | Path Ranking | |||||||||
| MAE | MARE | MAPE | MAE | MAE | MARE | MAPE | MAE | |||||
| Node2vec (Grover and Leskovec, 2016) | 76.228 | 0.281 | 54.182 | 0.203 | 0.119 | 0.140 | 227.129 | 0.269 | 30.919 | 0.218 | 0.079 | 0.098 |
| PIM (Bin Yang et al., 2022) | 63.812 | 0.237 | 47.054 | 0.144 | 0.284 | 0.343 | 207.266 | 0.246 | 27.716 | 0.207 | 0.091 | 0.102 |
| Lightpath (Yang et al., 2023b) | 58.818 | 0.221 | 40.219 | 0.124 | 0.413 | 0.483 | 201.400 | 0.229 | 26.429 | 0.178 | 0.209 | 0.252 |
| TrajCL (Chang et al., 2023) | 53.822 | 0.208 | 34.239 | 0.113 | 0.499 | 0.577 | 202.757 | 0.238 | 26.506 | 0.181 | 0.211 | 0.256 |
| START (Jiang et al., 2023) | 51.176 | 0.191 | 34.315 | 0.117 | 0.475 | 0.556 | 199.843 | 0.215 | 25.022 | 0.179 | 0.229 | 0.279 |
| CLIP (Radford et al., 2021) | 72.155 | 0.261 | 50.284 | 0.162 | 0.179 | 0.185 | 219.048 | 0.256 | 30.962 | 0.213 | 0.087 | 0.099 |
| USPM (Chen et al., 2024a) | 66.714 | 0.249 | 51.916 | 0.148 | 0.308 | 0.383 | 205.594 | 0.244 | 26.039 | 0.209 | 0.105 | 0.110 |
| JGRM (Ma et al., 2024) | 51.251 | 0.193 | 32.380 | 0.115 | 0.512 | 0.592 | 201.010 | 0.228 | 26.400 | 0.177 | 0.228 | 0.262 |
| Lightpath+image | 59.698 | 0.224 | 40.920 | 0.131 | 0.383 | 0.405 | 205.556 | 0.242 | 27.058 | 0.182 | 0.188 | 0.231 |
| START+image | 51.859 | 0.188 | 33.401 | 0.122 | 0.437 | 0.521 | 200.059 | 0.211 | 26.046 | 0.184 | 0.183 | 0.226 |
| MM-Path | 47.756 | 0.172 | 29.808 | 0.106 | 0.558 | 0.643 | 187.452 | 0.193 | 23.644 | 0.165 | 0.257 | 0.294 |
| Improvement | 6.682% | 9.947% | 12.941% | 6.194% | 11.823% | 11.443% | 6.201% | 10.236% | 5.507% | 7.303% | 12.227% | 5.376% |
| Improvement* | 6.819% | 8.511% | 7.943% | 7.826% | 8.984% | 8.614% | 6.312% | 8.531% | 9.222% | 6.780% | 12.719% | 12.213% |