jweihe

Results 10 issues of jweihe

可以提供下您使用的数据格式吗, 下载您在百度网盘上的数据太大了

` mask_indices = torch.unique(batch_inputs[:, 2]).cuda() mask = torch.zeros(self.entity_embeddings.shape[0]).cuda() mask[mask_indices] = 1.0 entities_upgraded = self.entity_embeddings.mm(self.W_entities) out_entity_1 = entities_upgraded + \ mask.unsqueeze(-1).expand_as(out_entity_1) * out_entity_1 `

When I use the code in your example about graphCL, and then without modification will appear ConvergenceWarning: Liblinear failed to converge, increase the number of iterations. Increasing the number of...

If not, how can we adapt PyG data and networks to this framework? Thank you!

Thank you to the author. However, it appears the code here is incomplete. How was "two_x_graphons" acquired? Do you have an example illustrating the functionality of "two_x_graphons_mixup"? These issues prevent...

### 是否已有关于该错误的issue或讨论? | Is there an existing issue / discussion for this? - [X] 我已经搜索过已有的issues和讨论 | I have searched the existing issues / discussions ### 该问题是否在FAQ中有解答? | Is there an...

### 是否已有关于该错误的issue或讨论? | Is there an existing issue / discussion for this? - [X] 我已经搜索过已有的issues和讨论 | I have searched the existing issues / discussions ### 该问题是否在FAQ中有解答? | Is there an...

Hello, this is a very good work! Can you tell me how to reproduce the results shown by Two-step Methods in baslines, is there a code I can refer to?