leichen2018 / GNN-Substructure-CountingLinks
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
Sorting:
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 3 years ago
- Code for "Weisfeiler and Leman go sparse: Towards higher-order graph embeddings"☆22Updated 3 years ago
- ☆12Updated 5 years ago
- Source code for PairNorm (ICLR 2020)☆77Updated 5 years ago
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 3 years ago
- Source code for From Stars to Subgraphs (ICLR 2022)☆70Updated last year
- ☆57Updated 3 years ago
- [TPAMI 2022] "Bag of Tricks for Training Deeper Graph Neural Networks A Comprehensive Benchmark Study" by Tianlong Chen*, Kaixiong Zhou*,…☆125Updated 3 years ago
- ☆37Updated 3 years ago
- Papers about developing DL methods on disassortative graphs☆48Updated 2 years ago
- ☆62Updated 4 years ago
- Code for the ICLR 2019 paper "Invariant and Equiovariant Graph Networks"☆24Updated 5 years ago
- Official repository for the paper "Partition and Code: learning how to compress graphs" (NeurIPS'21) https://arxiv.org/abs/2107.01952☆35Updated 3 years ago
- [ICLR 2023] Link Prediction with Non-Contrastive Learning☆26Updated 2 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 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
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated 2 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆19Updated last month
- Implementation of Directional Graph Networks in PyTorch and DGL☆118Updated 4 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- ☆35Updated 5 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Updated 2 years ago
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- SIGN: Scalable Inception Graph Network☆97Updated 4 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆41Updated 3 years ago
- Graph Convolutional Neural Networks with Complex Rational Spectral Filters☆26Updated 6 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆65Updated 2 years ago
- Scalable Graph Neural Networks for Heterogeneous Graphs☆72Updated 4 years ago