FilippoMB / Benchmark_dataset_for_graph_classificationLinks
Dataset for testing graph classification algorithms, such as Graph Kernels and Graph Neural Networks.
☆50Updated 7 months ago
Alternatives and similar repositories for Benchmark_dataset_for_graph_classification
Users that are interested in Benchmark_dataset_for_graph_classification are comparing it to the libraries listed below
Sorting:
- Bayesian Graph Neural Networks with Adaptive Connection Sampling - Pytorch☆61Updated 5 years ago
- ☆62Updated 5 years ago
- PyTorch implementation of "Graph Convolutional Networks for Graphs Containing Missing Features"☆48Updated last year
- Generating PGM Explanation for GNN predictions☆75Updated 2 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆85Updated last year
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- ☆142Updated 4 years ago
- ☆28Updated 4 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Hypergraph representation learning: Hypergraph Networks with Hyperedge Neurons.☆42Updated 5 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆102Updated 4 years ago
- Code for "Understanding Pooling in Graph Neural Networks" (TNNLS 2022).☆62Updated 3 years ago
- Codes for "Bridging the Gap Between Spectral and Spatial Domains in Graph Neural Networks" paper☆50Updated 4 years ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆68Updated 3 years ago
- ☆27Updated 9 months ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆38Updated 3 years ago
- Graph Imputation Neural Network☆79Updated 5 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆89Updated 4 years ago
- Code for "Explainability methods for graph convolutional neural networks" - PE Pope*, S Kolouri*, M Rostami, CE Martin, H Hoffmann (CVPR …☆34Updated 7 months ago
- PyTorch-Geometric Implementation of MarkovGNN method published in Graph Learning@WWW 2022 titled "MarkovGNN: Graph Neural Networks on Mar…☆13Updated 3 years ago
- Code for the paper "RWR-GAE: Random Walk Regularized Graph Auto Encoder"☆38Updated 2 years ago
- Random Walk Graph Neural Networks☆54Updated 4 years ago
- ☆47Updated 3 years ago
- Variational Graph Convolutional Networks☆23Updated 5 years ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 4 years ago
- A Tensorflow 2.0 implementation of Graph Isomorphism Networks.☆55Updated 6 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- The official implementation of the Graph Barlow Twins method with the experimental pipeline☆31Updated 2 years ago
- Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)☆273Updated 2 years ago