twjiang/graphSAGE-pytorch
A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.
Python
Issues
- 1
请问新节点如何生成和获取嵌入向量?
#39 opened by yip522364642 - 1
Should not put the whole feature 2708*1433 into the forward of model GraphSage
#38 opened by 0nanimonai0 - 0
unsup question
#36 opened by tyust-dayu - 1
- 2
Could not find a version that satisfies the requirement torch==1.0.1.post2
#26 opened by linbeijianbaoxia - 0
how can we use it on mr or R8 datasets ?
#31 opened - 0
where is the embedding metrix?
#29 opened by Merlin456 - 5
File not found error.
#15 opened by DavidVillaHMD - 1
咨询下大佬个问题,以监督学习的方式训练网络的时候,训练样本貌似也放进了同batch的不是附近的节点,看监督学习训练的损失是直接用激活函数得到logit后得到损失,这样是不是不太那啥?是不是应该只用正样本吧(监督方式训练的时候)
#25 opened by greenary-John - 2
Not convergence.
#24 opened by WangYuxiang8 - 1
Not convergenced.
#23 opened by WangYuxiang8 - 0
deleted
#19 opened by wiredosprout - 1
Edges not directed
#21 opened by liuran998 - 0
Low memory utilization
#17 opened - 2
typo in line 73 of main.py?
#16 opened by jaks19 - 2
How to perform the inductive learning?
#14 opened by gangwu001 - 4
The implementation may be incorrect because the two embedding layers are very sparse.
#13 opened by BigAndSweet - 1
- 1
- 0
How to adapt for weighted graph
#11 opened by decoder746 - 1
no model_save function?
#10 opened by Abigale001 - 5
some questions about the models.py
#5 opened by AllenWu18