dglai / Thewebconf2023-TutorialLinks
☆10Updated 2 years ago
Alternatives and similar repositories for Thewebconf2023-Tutorial
Users that are interested in Thewebconf2023-Tutorial are comparing it to the libraries listed below
Sorting:
- [NeurIPS 2023] Implementation of "Transformers over Directed Acyclic Graphs"☆73Updated 7 months ago
- ☆216Updated 2 years ago
- Temporal Graph Benchmark project repo☆241Updated 2 months ago
- here you can find the material used for our Tutorials☆102Updated 3 years ago
- Implementation of "GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings" in PyTorch☆165Updated 3 years ago
- List of papers on ICML2023.☆56Updated 2 years ago
- [NeurIPS 2021]: Improve the GNN expressivity and scalability by decoupling the depth and receptive field of state-of-the-art GNN architec…☆137Updated 3 years ago
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆95Updated last year
- Visualization tool for Graph Neural Networks☆257Updated 3 years ago
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆161Updated 2 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Updated 3 years ago
- ☆177Updated 2 years ago
- This is an authors' implementation of the NIPS 2022 dataset and Benchmark Track Paper "A Comprehensive Study on Large Scale Graph Trainin…☆64Updated 2 years ago
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆124Updated 2 years ago
- SIGN: Scalable Inception Graph Network☆95Updated 5 years ago
- Exphormer: Sparse Transformer for Graphs☆187Updated last year
- ☆97Updated 2 years ago
- PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepte…☆143Updated 10 months ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆314Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆83Updated 2 years ago
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆85Updated 6 months ago
- ☆91Updated 2 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆91Updated last year
- Code for our paper "Attending to Graph Transformers"☆92Updated 2 years ago
- ☆44Updated last year
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated 2 years ago
- ☆156Updated 4 years ago
- An open-source implementation of SEAL for link prediction in open graph benchmark (OGB) datasets.☆240Updated 2 years ago
- Dynamic Graph Benchmark☆87Updated 2 years ago
- TGB baselines for dynamic link property prediction☆23Updated 11 months ago