Title |
Conference/Journal |
Code |
Measuring and Improving the Use of Graph Information in Graph Neural Networks |
ICLR |
Code |
PairNorm: Tackling Oversmoothing in GNNs |
ICLR |
Code |
DropEdge: Towards Deep Graph Convolutional Networks on Node Classification |
ICLR |
Code |
Measuring and Relieving the Over-smoothing Problem for Graph Neural Networks from the Topological View |
ICLR |
|
When Do GNNs Work: Understanding and Improving Neighborhood Aggregation |
|
|
Graph Structure Learning for Robust Graph Neural Networks |
KDD |
Code |
Title |
Conference/Journal |
Code |
How Powerful are Graph Neural Networks? |
ICLR |
Code |
GNNExplainer: Generating Explanations for Graph Neural Networks |
NIPS |
Code |
Understanding the Power of Graph Neural Networks in Learning Graph Topology |
NIPS |
Code |
GeniePath: Graph Neural Networks with Adaptive Receptive Paths |
AAAI |
Code |
Sparse Graph Attention Networks |
|
|
Title |
Conference/Journal |
Code |
FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling |
ICLR |
Code |
Graph Attention Networks |
ICLR |
Code |
Title |
Conference/Journal |
Code |
Semi-Supervised Classification with Graph Convolutional Networks |
ICLR |
Code |
Inductive Representation Learning on Large Graphs |
NIPS |
http://snap.stanford.edu/graphsage/ |
Title |
Deep Learning on Graphs-A Survey |
A Comprehensive Survey on Graph Neural Networks |
Graph Neural Networks-A Review of Methods and Applications |
https://github.com/DeepGraphLearning/LiteratureDL4Graph
https://github.com/safe-graph/DGFraud
https://www.stellargraph.io/
https://awesomeopensource.com/projects/gcn?categoryPage=6
https://awesomeopensource.com/project/Jiakui/awesome-gcn