All Questions
Tagged with graph-neural-networkneural-network
10 questions
5votes
1answer
60views
Choosing NN architecture for route correction
Can you help me choose a NN architecture that solves this kind of problem: A route, meaning a sequence of coordinates (e.g. [(34.1, 52.3),(34.101, 52.301), ... ]), ...
1vote
1answer
24views
Is there a procedure for determining if a classification problem is ill-defined?
Consider a group of objects denoted $O = \{o_0, o_1, \cdots\}$ where each object is associated with a feature vector $F = \{f_0, f_1, \cdots\, f_{N-1}\}$. For this case, assume the features are ...
- 133
1vote
0answers
22views
How to convert ECG Data to Graphical Data so that it can be used in GNNs?
I am trying to predict arrythmia using GCNN but the problem i am facing is that the data is in tabular format screenshot attached below. Upon reading i found out that there needs to nodes and edges ...
-1votes
2answers
37views
Optimisation of neural networks
Do neural networks get optimized by trial and error, by data scientists, or is there some way of optimizing values through accurate mathematical equations?
0votes
1answer
132views
Understanding Node Embeddings
I have only just started to look into graph neural networks and I am a little confused on the node embedding process. Here is my understanding, please let me know if i misunderstood: Given unlabelled ...
- 111
1vote
0answers
28views
Machine learning on graphs
I'm looking for some method/model to help me with my current problem: I have a geometry, consisting of points, and eges. For each point I take information about itself and its neighbours. For now I ...
- 23
3votes
0answers
40views
Force Matching in Coarse Grained Molecular Dynamics with Jax - Forces do not match when neglecting energy loss
I am currently exploring force matching approaches for molecular dynamic simulations. As I am still in an exploration state, I'd tried investigated Force Matching Neural Network Colab Notebook ...
2votes
1answer
115views
Knowledge Graph as an input to a neural network
I want to create a neural network that takes as an input a knolwedge subgraph(different types of nodes and different types of edges) to predict some properties. For instance an input in the graph can ...
1vote
1answer
357views
How does graph classification work with graph neural networks
I am reading the paper The Graph Neural Network Model by Scarselli et al. I understand how node classification works. I am having trouble understanding how graph classification works however. In ...
7votes
1answer
4kviews
What is difference between transductive and inductive in GNN?
It seems in GNN(graph neural network), in transductive situation, we input the whole graph and we mask the label of valid data and predict the label for the valid data. But is seems in inductive ...
- 721
