leichen2018 / GNN-Substructure-Counting
The official implementation of ''Can Graph Neural Networks Count Substructures?'' NeurIPS 2020
☆34Updated 4 years ago
Alternatives and similar repositories for GNN-Substructure-Counting:
Users that are interested in GNN-Substructure-Counting are comparing it to the libraries listed below
- ☆56Updated 3 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆40Updated 3 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 2 years ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆126Updated 3 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆40Updated 3 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 3 years ago
- Measuring and Improving the Use of Graph Information in Graph Neural Networks☆82Updated 7 months ago
- Source code for PairNorm (ICLR 2020)☆76Updated 4 years ago
- ☆62Updated 4 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 2 years ago
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆19Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆67Updated 11 months ago
- Implementation of Directional Graph Networks in PyTorch and DGL☆117Updated 3 years ago
- ☆26Updated 3 years ago
- ☆12Updated 4 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆53Updated last year
- ☆35Updated 5 years ago
- Variational Graph Convolutional Networks☆22Updated 4 years ago
- Graph Convolutional Neural Networks with Complex Rational Spectral Filters☆26Updated 6 years ago
- A Note On Over-Smoothing for Graph Neural Network☆19Updated 4 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 3 years ago
- Python code associated with the paper "A Unifying Framework for Spectrum-Preserving Graph Sparsification and Coarsening'' (NeurIPS, 2019)☆16Updated 4 years ago
- ☆37Updated 3 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 4 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Updated 2 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆57Updated 4 years ago
- ☆155Updated 3 years ago