THUMNLab / NAS-Bench-GraphLinks
☆24Updated 2 years ago
Alternatives and similar repositories for NAS-Bench-Graph
Users that are interested in NAS-Bench-Graph are comparing it to the libraries listed below
Sorting:
- A paper collection about automated graph learning☆98Updated last year
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆92Updated 10 months ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆89Updated last year
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- GOOD: A Graph Out-of-Distribution Benchmark [NeurIPS 2022 Datasets and Benchmarks]☆201Updated 6 months ago
- [ICML 2022] Graph Stochastic Attention (GSAT) for interpretable and generalizable graph learning.☆168Updated last year
- [ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"☆140Updated 9 months ago
- Energetic GraphNeural Networks (EGNN) implementation based on Dirichlet Energy Constrained Learning.☆27Updated 3 years ago
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆53Updated 2 years ago
- [NeurIPS 2022] Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs☆116Updated 2 years ago
- The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)☆26Updated 3 years ago
- ☆135Updated 2 years ago
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆66Updated last year
- A graph neural network tailored to directed acyclic graphs that outperforms conventional GNNs by leveraging the partial order as strong i…☆134Updated last year
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆25Updated 3 years ago
- Boost learning for GNNs from the graph structure under challenging heterophily settings. (NeurIPS'20)☆105Updated 2 months ago
- Graph Structured Neural Network☆40Updated 3 years ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆65Updated last year
- Official implementation of our VQ-GNN paper (NeurIPS2021)☆38Updated 3 years ago
- A graph transformer framework☆77Updated 3 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆193Updated last year
- 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
- ☆57Updated 3 years ago
- How Powerful are Spectral Graph Neural Networks☆73Updated 2 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 4 years ago
- ☆77Updated 4 years ago
- The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"☆92Updated 2 years ago
- Parameterized Explainer for Graph Neural Network☆138Updated last year
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆311Updated last year
- Collection of papers relating data-driven higher-order graph/networks researches.☆71Updated 2 years ago