Chen-Cai-OSU / LDPLinks
LDP for graph classification
☆23Updated 6 years ago
Alternatives and similar repositories for LDP
Users that are interested in LDP are comparing it to the libraries listed below
Sorting:
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆21Updated 4 years ago
- Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)☆105Updated 5 years ago
- ☆35Updated 6 years ago
- Compute graph embeddings via Anonymous Walk Embeddings☆83Updated 7 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆91Updated 6 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆53Updated 5 years ago
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆189Updated 3 years ago
- Wasserstein Weisfeiler-Lehman Graph Kernels☆86Updated last year
- ☆31Updated 2 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Updated 6 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆98Updated 3 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 5 years ago
- Learning Discrete Structures for Graph Neural Networks (TensorFlow implementation)☆200Updated last year
- Graph Auto-Encoder in PyTorch☆81Updated 2 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- Source code for PairNorm (ICLR 2020)☆79Updated 5 years ago
- ☆62Updated 5 years ago
- Distance Encoding for GNN Design☆188Updated 4 years ago
- ☆30Updated 4 years ago
- Code for Graphite iterative graph generation☆59Updated 6 years ago
- The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020☆35Updated 4 years ago
- Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"☆76Updated 2 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆156Updated 3 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆83Updated last year
- Code for reproducing results in GraphMix paper☆72Updated 3 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆104Updated 4 years ago
- Supervised community detection with line graph neural networks☆90Updated 5 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Updated 3 years ago