8 results found Sort:
Hierarchical Graph Pooling with Structure Learning
Created
2019-11-12
23 commits to master branch, last one 3 years ago
Experimental results obtained with the MinCutPool layer as presented in the 2020 ICML paper "Spectral Clustering with Graph Neural Networks for Graph Pooling"
Created
2020-06-05
37 commits to master branch, last one 29 days ago
Official Code Repository for the paper "Accurate Learning of Graph Representations with Graph Multiset Pooling" (ICLR 2021)
Created
2021-02-16
38 commits to main branch, last one 2 years ago
Hierarchical Inter-Message Passing for Learning on Molecular Graphs
Created
2020-06-22
13 commits to master branch, last one 2 years ago
Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).
Created
2021-10-04
3 commits to master branch, last one 2 years ago
Awesome graph-level learning methods. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in graph repr...
Created
2023-01-12
40 commits to main branch, last one about a month ago
Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)
Created
2021-05-31
17 commits to main branch, last one about a year ago
Code and dataset to test empirically the expressive power of graph pooling operators.
Created
2023-04-01
16 commits to main branch, last one about a year ago