GNN 101

姚伟峰
http://www.cnblogs.com/Matrix_Yao/

• Graph + AI: What’s Next? Progress in Democratizing Graph for All

• Recent Advances in Efficient and Scalable Graph Neural Networks

• Crossing the Chasm – Technology adoption lifecycle

• Understanding and Bridging the Gaps in Current GNN Performance Optimizations

• Automatic Generation of High-Performance Inference Kernels for Graph Neural Networks on Multi-Core Systems

• Understanding GNN Computational Graph: A Coordinated Computation, IO, And Memory Perspective

• Graphiler: A Compiler For Graph Neural Networks

• Scatter-Add in Data Parallel Architectures

• fuseGNN: Accelerating Graph Convolutional Neural Network Training on GPGPU

• VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization

• NeuGraph: Parallel Deep Neural Network Computation on Large Graphs

• Completing a member knowledge graph with Graph Neural Networks

• PinnerFormer: Sequence Modeling for User Representation at Pinterest

• Gartner and Graph Analytics