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@hyanwong, Gil and I have recently discussed details of a "windowed" GNN, which would use either span- or time-based windows to calculate the nearest neighbours of a set of focal nodes. Here's a propo…
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## 🚀 Feature
[GNNAsKernel](https://github.com/GNNAsKernel/GNNAsKernel) is a general framework that boosts the expressiveness of any existing message-passing based GNNs. The original implementation …
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Explain the difficulty of creating frameworks for GNNs (variety of approaches) and give one or two examples of taxonomies/frameworks which have been established so far
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### Name
Gregory Wolfe
### Email
gw2338@nyu.edu
### Dataset name
Defect GNN
### Authors
Md Habibur Rahman, Prince Gollapalli, Panayotis Manganaris, Satyesh Kumar Yadav, Ghanshyam Pilania, Brian…
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### What happened + What you expected to happen
At Reproduction script, if `config["num_workers"]` not 0, error will appear
Traceback (most recent call last):
File "ray_test.py", line 135, in
…
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This paper might be relevant: https://arxiv.org/abs/2111.10144
To quote the abstract:
> Graph neural networks (GNNs) provide a powerful and scalable solution for modeling continuous spatial data…
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## Improper use of CUDA Graph in TC-GNN
Hello,
I wanted to bring to your attention a potential issue regarding the usage of CUDA Graph in TC-GNN. Upon reviewing the torch [document](https://pyto…
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We are impressed by your great work in Auto-Scaling GNNs, which gives us a lot of inspiration. Therefore, we recently reproduce your GNNAutoScale framework using PGL and PaddlePaddle. And the code is…
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Dear ignnition team,
In our problem we are training a GNN for a regression task - a subset of nodes is labeled by a float value and those labels are learned using a neural network as a readout mode…
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## 🚀 Feature
### Motivation
paper "[LEARNING TO REPRESENT PROGRAMS WITH GRAPHS](https://arxiv.org/pdf/1711.00740.pdf)" which encode computer programs as graphs, with rich semantic informatio…