GCN是一种非常有效的处理图结构数据的模型,GCN可以简单理解为将一个节点的邻居节点和相应的关系的信息传递给该节点,多层的GCN堆叠到一起可以学习到更大范围的信息。结构依赖需要捕获知识图谱中各个实体之间的联系,作者用一个 w 层的relation-aware GCN来学习结构依赖。公式如下: ...
--- VectorNet |--- ArgoverseDataset.py 数据集读取、预处理、转换为tensor |--- subgraph_net.py polyline subgraph相关类实现 |--- gnn.py 带Attention机制的GCN,因为图是全连接,所以没有用dgl |--- vectornet.py 把subgraph和GNN合并起来的model,loss计算 |--- train.py 网络训练入口,会保存checkpoint...
set(ROCM_DEVICE_LIBS_BITCODE_INSTALL_LOC_OLD "amdgcn" CACHE STRING "Old devicelibs loc" FORCE) 8 changes: 8 additions & 0 deletions 8 core/CMakeLists.txt Original file line numberDiff line numberDiff line change @@ -26,10 +26,16 @@ therock_cmake_subproject_activate(ROCR-Runtime) ...
deepke Download Code git clone https://github.com/zjunlp/DeepKE.git cd DeepKE/example/re/standard Install with Pip Create and enter the python virtual environment. Install dependencies: pip install -r requirements.txt. Train and Predict Dataset Download the dataset to this directory. wget 120.27....
We provided the pre-trained GNN model in ./saved/, including GCN, GAT, GraphSAGE and TAG. Downstream tasks for reaction classification: cd src python main.py --task reaction_classification --pretrained_model tag_f00 --dataset schneider --batch_size 200 for yield prediction: cd src python ...
git clone https://github.com/Rostlab/LocText.gitcdLocText#We recommend you use python virtualenv: https://pypi.python.org/pypi/virtualenvpip install -r requirements.txt python -m loctext.download_data Run Sample Script python run.py --text"GCN2 was constitutively localized to the nucleolus or...
// RUN: %clang_cc1 -triple amdgcn-amd-amdhsa -aux-triple \ // RUN: x86_64-pc-windows-msvc -fms-compatibility -fcuda-is-device \ // RUN: -fsyntax-only -verify -x hip %s // RUN: %clang_cc1 -triple x86_64-pc-windows-msvc -fms-compatibility \ // RUN: -fsyntax-only -verify ...
! RUN: %flang -### -fopenmp --offload-arch=gfx90a -fopenmp-targets=amdgcn-amd-amdhsa -nogpulib %s 2>&1 | FileCheck --check-prefixes=CHECK-OPENMP-IS-TARGET-DEVICE %s ! CHECK-OPENMP-IS-TARGET-DEVICE: "{{[^"]*}}flang-new" "-fc1" {{.*}} "-fopenmp" {{.*}} "-fopenmp-is-...
// RUN: %clang_cc1 -triple amdgcn-amd-amdhsa -aux-triple \ // RUN: x86_64-pc-windows-msvc -fms-compatibility -fcuda-is-device \ // RUN: -fsyntax-only -verify -x hip %s // RUN: %clang_cc1 -triple x86_64-pc-windows-msvc -fms-compatibility \ // RUN: -fsyntax-only -verify ...
|--- gnn.py 带Attention机制的GCN,因为图是全连接,所以没有用dgl |--- vectornet.py 把subgraph和GNN合并起来的model,loss计算 |--- train.py 网络训练入口,会保存checkpoint |--- test.py 网络测试入口,同时实现了评估函数,会保存inference结果