benedekrozemberczki / PDNLinks
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
Sorting:
- spectralembeddings is a python library which is used to generate node embeddings from Knowledge graphs using GCN kernels and Graph Autoe…☆64Updated 3 years ago
- Transformers are Graph Neural Networks!☆54Updated 4 years ago
- The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical…☆51Updated 2 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- ☆31Updated 2 years ago
- (Personalized) Page-Rank computation using PyTorch☆92Updated 2 years ago
- Official Pytorch Implementation of GraphiT☆109Updated 4 years ago
- From Random Walks to Transformer for Learning Node Embeddings (ECML-PKDD 2020) (In Pytorch and Tensorflow)☆42Updated 4 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- Data for "Understanding Isomorphism Bias in Graph Data Sets" paper.☆89Updated 5 years ago
- PPRGo model in PyTorch, as proposed in "Scaling Graph Neural Networks with Approximate PageRank" (KDD 2020)☆126Updated 3 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago
- A curated list of awesome graph representation learning.☆69Updated 4 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Source code from the article "FastGAE: Scalable Graph Autoencoders with Stochastic Subgraph Decoding" by G. Salha, R. Hennequin, J.B. Rem…☆27Updated 3 years ago
- ☆95Updated 2 years ago
- Graph Data Augmentation Library for PyTorch Geometric☆132Updated 2 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 5 years ago
- Code for the paper: "On the Bottleneck of Graph Neural Networks and Its Practical Implications"☆95Updated 3 years ago
- Pytorch Implementation of Graph Convolutional Kernel Networks☆54Updated 2 years ago
- Source code from the NeurIPS 2019 workshop article "Keep It Simple: Graph Autoencoders Without Graph Convolutional Networks" (G. Salha, R…☆133Updated 4 years ago
- A NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).☆84Updated 2 years ago
- New Algorithms for Learning on Hypergraphs☆40Updated 3 years ago
- The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021☆36Updated 3 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆136Updated 6 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".☆187Updated 2 years ago
- Hyperbolic Neural Networks, pytorch☆87Updated 6 years ago
- Equivalence Between Structural Representations and Positional Node Embeddings☆22Updated 5 years ago