• Accelerate machine learning with Metal Performance Shaders Graph🔍
• Practical Dynamic Graph Algorithms🔍
• Deep Learning with Dynamic Computation Graphs🔍
• Dynamic batching for different sizes of graph inputs #796🔍
• Parallel Batch|Dynamic Graph Representations🔍
• Comparison of tissue/disease specific integrated networks using ...🔍

Accelerate machine learning with Metal Performance Shaders Graph

Batch normalization is a standard layer used in ML ... These gather layers allow for efficient implementation of embedding lookup and dynamic matrix copy.

Practical Dynamic Graph Algorithms: Data Structures and ... - YouTube

... dynamic graph algorithms to be efficient in more than one practical model of computation. Specifically, I will describe several models of ...

Deep Learning with Dynamic Computation Graphs - Medium

Most current deep learning libraries only support batch processing of static data-flow graphs. Hence, an efficient batch computation of dynamic ...

Dynamic batching for different sizes of graph inputs #796 - GitHub

As I saw, by the help of block diagonal adjacency matrix, I can batch the nodes. But what I need to do is creating batches for each graph. (for ...

Parallel Batch-Dynamic Graph Representations - Simons Institute

In this talk I will describe recent work on efficiently representing graphs undergoing dynamic changes. ... I will end by describing ongoing work ...

Comparison of tissue/disease specific integrated networks using ...

Graphlet counts are assessed for statistical significance by comparison against a set of randomized networks. We present our results on analysis ...