Literature Survey #10

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1. JoelMathewC commented on Feb 21, 2023

   

   JoelMathewC

   on Feb 21, 2023

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   Pytorch Geometric Temporal

   Paper Link: https://arxiv.org/abs/2104.07788
   Status: Completed reading entire paper

   Ideas for the project

   1. Try implementing DCRNN, because according to the paper in page 4, they state that they had to write custom code for diffusion, since it wasn't there in PyG. Took a very look at the implementation code here and it seems like quite a bit of logic, would be nice to see if a vertex centric-program can model this.
   2. The documentation updates every time the code base changes, that might help for us as well.
   3. Additionally in their future work they talk about building models for continuous time models (snapshots not at regular intervals) and temporal models which operate on curved spaces such as hyperbolic and spherical spaces.
2. JoelMathewC commented on Mar 10, 2023

   

   JoelMathewC

   on Mar 10, 2023

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   HGL: Accelerating Heterogeneous GNN Training with Holistic Representation and Optimization

   Paper Link: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10046125
   Implementation Link: https://github.com/ytgui/HGL-proto/tree/0.1.0
   Status: Completed reading entire paper

   Ideas for project

   1. Make every graph a heterogenous graph, homogenous graphs are heterogenous graphs with 1 relation.
   2. Numeros optimization techniques for that approach, maybe some of them could be adopted
   3. Putting a pause on this now and looking into other branches.
3. bfGraph

   locked and limited conversation to collaborators on Apr 30, 2023
4. JoelMathewC

   converted this issue into a discussion #32 on Apr 30, 2023