benedekrozemberczki / PDN
The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)
☆58Updated 2 years ago
Alternatives and similar repositories for PDN:
Users that are interested in PDN are comparing it to the libraries listed below
- ☆30Updated last year
- SIGN: Scalable Inception Graph Network☆95Updated 4 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆45Updated last year
- Graph Positional and Structural Encoder☆46Updated last month
- ☆92Updated last year
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)☆42Updated 3 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆49Updated last year
- Official Pytorch Implementation of GraphiT☆107Updated 3 years ago
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…☆65Updated 3 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆127Updated 2 years ago
- Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks☆55Updated 3 years ago
- (Personalized) Page-Rank computation using PyTorch☆88Updated 2 years ago
- Equivariant Subgraph Aggregation Networks (ICLR 2022 Spotlight)☆86Updated last year
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆94Updated 2 years ago
- Hierarchical Inter-Message Passing for Learning on Molecular Graphs☆77Updated 3 years ago
- Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.☆62Updated 5 years ago
- Official repository for the paper "Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting" (TPAMI'22) https://arxi…☆100Updated 3 years ago
- Graph Data Augmentation Library for PyTorch Geometric☆129Updated 2 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆132Updated 4 years ago
- Laplacian Change Point Detection for Dynamic Graphs (KDD 2020)☆26Updated last year
- code for the paper in NeurIPS 2019☆40Updated last year
- Transformers are Graph Neural Networks!☆52Updated 4 years ago
- Source code from the article "FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding" by G. Salha, R. Hennequin, J.B. Rem…☆26Updated 2 years ago
- Node Embeddings in Dynamic Graphs☆56Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- ☆21Updated last year
- tNodeEmbed☆79Updated 2 years ago
- Explanation method for Graph Neural Networks (GNNs)☆63Updated 3 years ago
- Distance Encoding for GNN Design☆187Updated 3 years ago
- New Algorithms for Learning on Hypergraphs☆39Updated 3 years ago