chaitjo / gated-graph-transformersLinks
Transformers are Graph Neural Networks!
☆54Updated 4 years ago
Alternatives and similar repositories for gated-graph-transformers
Users that are interested in gated-graph-transformers are comparing it to the libraries listed below
Sorting:
- The official PyTorch implementation of "Pathfinder Discovery Networks for Neural Message Passing" (WebConf '21)☆58Updated 2 years ago
- 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
- ☆10Updated 3 years ago
- code for the paper in NeurIPS 2019☆40Updated 2 years ago
- Code for Graph Neural Networks Exponentially Lose Expressive Power for Node Classification.☆30Updated 5 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆155Updated 2 years ago
- Source code of "Segmented GRAPH-BERT Model"☆24Updated 4 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Updated 4 years ago
- Code for the paper: "edGNN: A simple and powerful GNN for labeled graphs"☆43Updated 2 years ago
- Graph neural network message passing reframed as a Transformer with local attention☆69Updated 2 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆69Updated 2 years ago
- ☆12Updated 5 years ago
- Memory-Based Graph Networks☆104Updated 3 years ago
- Geo2DR: A Python and PyTorch library for learning distributed representations of graphs.☆46Updated 2 years ago
- SIGN: Scalable Inception Graph Network☆96Updated 4 years ago
- A simple implementation of a deep linear Pytorch module☆21Updated 4 years ago
- informal exposition of Weisfeiler-Leman similarity☆28Updated 4 years ago
- Codes for NIPS 2019 Paper: Rethinking Kernel Methods for Node Representation Learning on Graphs☆34Updated 5 years ago
- Optimization and Generalization Analysis of Transduction through Gradient Boosting and Application to Multi-scale Graph Neural Networks☆13Updated 5 years ago
- Code for "R-GCN: The R Could Stand for Random"☆37Updated 2 years ago
- Code to reproduce the results in the paper Supervised Learning on Relational Databases with Graph Neural Networks.☆63Updated 5 years ago
- ☆35Updated 6 years ago
- Started as a Team Project for CS690D at UMass Amherst, now turning into pytorch implementation of hyperbolic neural networks using Poinca…☆12Updated 2 years ago
- NeurIPS 2022: Tree Mover’s Distance: Bridging Graph Metrics and Stability of Graph Neural Networks☆37Updated 2 years ago
- (Personalized) Page-Rank computation using PyTorch☆92Updated 2 years ago
- ☆172Updated 5 years ago
- Y. Zhang, Q. Yao, J. Kwok. Bilinear Scoring Function Search for Knowledge Graph Learning. TPAMI 2022☆69Updated last year
- Official Pytorch Implementation of GraphiT☆109Updated 4 years ago
- Source code for CIKM-CSSA 2020 paper SNAG "Simplified Neural Architecture search for Graph Neural Networks".☆14Updated 4 years ago
- ☆31Updated 2 years ago