Ecosyste.ms: Issues
An open API service for providing issue and pull request metadata for open source projects.
GitHub / danielegrattarola/keras-gat issues and pull requests
#36 - Why is my accuracy consistently around 0.2 in training
Issue -
State: open - Opened by hnulmz3 about 1 year ago
- 1 comment
#35 - Input shape
Issue -
State: closed - Opened by Kareshi-X over 2 years ago
- 2 comments
#34 - How to fix this issues
Issue -
State: open - Opened by weber-tsao almost 3 years ago
- 2 comments
#33 - 遇到这个问题怎么解决啊???求大佬解答!!
Issue -
State: open - Opened by cwl1999 almost 3 years ago
- 1 comment
#32 - How to use predict func after training model ?
Issue -
State: open - Opened by monkey1302 almost 3 years ago
- 2 comments
#31 - Question about the image segmentation (use GAT)
Issue -
State: open - Opened by tanjia123456 almost 4 years ago
#30 - Performance in Cora
Issue -
State: closed - Opened by JhuoW almost 4 years ago
- 2 comments
#29 - Visualization Qesition
Issue -
State: closed - Opened by tanjia123456 almost 4 years ago
- 2 comments
#28 - Why I got loss value nan in working with citeseer data
Issue -
State: closed - Opened by gaudelbijay about 4 years ago
- 7 comments
#27 - matrix A
Issue -
State: open - Opened by TransformersWsz over 4 years ago
- 2 comments
#26 - Cannot approach the accuracy ~83% on cora
Issue -
State: closed - Opened by stridence over 4 years ago
- 2 comments
#25 - batch dimension
Issue -
State: closed - Opened by xhtian95 about 5 years ago
- 1 comment
#24 - random seed
Issue -
State: open - Opened by xhtian95 about 5 years ago
- 1 comment
#23 - Getting NaN loss
Issue -
State: closed - Opened by duncster94 over 5 years ago
- 5 comments
#22 - Only 9700 parameters and 13700 samples result in OOM on a TITAN Xp
Issue -
State: closed - Opened by Imorton-zd over 5 years ago
- 1 comment
#21 - self attention issue
Issue -
State: closed - Opened by FrankCAN almost 6 years ago
- 1 comment
#20 - there's actually no need to do the activation early in case of "conca…
Pull Request -
State: closed - Opened by mawright almost 6 years ago
- 1 comment
#19 - Adjust l2 norm penalty in example
Pull Request -
State: closed - Opened by mawright almost 6 years ago
- 1 comment
#18 - PPI
Issue -
State: closed - Opened by xuhaiyun43 almost 6 years ago
- 1 comment
#18 - PPI
Issue -
State: closed - Opened by xuhaiyun43 almost 6 years ago
- 1 comment
#17 - The example script still does not reproduce the results
Issue -
State: closed - Opened by randomboolean about 6 years ago
- 6 comments
#16 - How to train the model through minibatch of samples
Issue -
State: closed - Opened by qzshadow about 6 years ago
- 3 comments
#16 - How to train the model through minibatch of samples
Issue -
State: closed - Opened by qzshadow about 6 years ago
- 3 comments
#15 - How to perform inductive learning on PPI?
Issue -
State: closed - Opened by Jhy1993 about 6 years ago
- 3 comments
#14 - citeseer dataset loss is nan
Issue -
State: closed - Opened by CEfanmin about 6 years ago
- 3 comments
#14 - citeseer dataset loss is nan
Issue -
State: closed - Opened by CEfanmin about 6 years ago
- 3 comments
#13 - Comparison with original GCN
Issue -
State: closed - Opened by wzm2256 over 6 years ago
- 1 comment
#12 - plot the first GAT layer
Issue -
State: closed - Opened by CEfanmin over 6 years ago
- 1 comment
#12 - plot the first GAT layer
Issue -
State: closed - Opened by CEfanmin over 6 years ago
- 1 comment
#11 - Reporting 0.8350 accuracy (epochs 1000) after fixing a bug.
Issue -
State: closed - Opened by vermaMachineLearning over 6 years ago
- 2 comments
#11 - Reporting 0.8350 accuracy (epochs 1000) after fixing a bug.
Issue -
State: closed - Opened by vermaMachineLearning over 6 years ago
- 2 comments
#10 - Not an issue but a suggestion for making code 4 X Faster
Issue -
State: closed - Opened by vermaMachineLearning over 6 years ago
- 1 comment
#10 - Not an issue but a suggestion for making code 4 X Faster
Issue -
State: closed - Opened by vermaMachineLearning over 6 years ago
- 1 comment
#9 - call() got an unexpected keyword argument 'mask'
Issue -
State: closed - Opened by AYG-DL over 6 years ago
- 2 comments
#9 - call() got an unexpected keyword argument 'mask'
Issue -
State: closed - Opened by AYG-DL over 6 years ago
- 2 comments
#8 - * Rewrite attention computations so we only do each <a,Wh> once
Pull Request -
State: closed - Opened by danielegrattarola over 6 years ago
#8 - * Rewrite attention computations so we only do each <a,Wh> once
Pull Request -
State: closed - Opened by danielegrattarola over 6 years ago
#7 - Performances
Issue -
State: closed - Opened by Diego999 over 6 years ago
- 6 comments
#7 - Performances
Issue -
State: closed - Opened by Diego999 over 6 years ago
- 6 comments
#6 - Result of example script with 8 attention heads
Issue -
State: closed - Opened by matthias-samwald over 6 years ago
- 1 comment
#6 - Result of example script with 8 attention heads
Issue -
State: closed - Opened by matthias-samwald over 6 years ago
- 1 comment
#5 - What is behavior of K.dot?
Issue -
State: closed - Opened by machanic over 6 years ago
- 6 comments
#4 - add LeakyReLU nonlinearty and change dropout rate
Pull Request -
State: closed - Opened by dawnranger almost 7 years ago
- 1 comment
#4 - add LeakyReLU nonlinearty and change dropout rate
Pull Request -
State: closed - Opened by dawnranger almost 7 years ago
- 1 comment
#3 - fix loss not improve bug and add earlystopping
Pull Request -
State: closed - Opened by dawnranger almost 7 years ago
- 1 comment
#3 - fix loss not improve bug and add earlystopping
Pull Request -
State: closed - Opened by dawnranger almost 7 years ago
- 1 comment
#2 - loss did not improve
Issue -
State: closed - Opened by dawnranger almost 7 years ago
- 3 comments
#2 - loss did not improve
Issue -
State: closed - Opened by dawnranger almost 7 years ago
- 3 comments
#1 - why the number of kernels equals to attention kernels
Issue -
State: closed - Opened by talorwu almost 7 years ago
- 2 comments
#1 - why the number of kernels equals to attention kernels
Issue -
State: closed - Opened by talorwu almost 7 years ago
- 2 comments