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:
- The released code for the paper: Pooling Architecture Search for Graph Classification, in CIKM 2021.☆25Updated 3 years ago
- ☆57Updated 3 years ago
- A paper collection about automated graph learning☆96Updated 11 months ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆51Updated last year
- [ICLR 2022] Code for Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation (GLNN)☆89Updated 7 months ago
- CIKM 2021: Pooling Architecture Search for Graph Classification☆20Updated 2 years ago
- Pytorch implementation of differentiable group normalization (NeurIPS 2020)☆38Updated 4 years ago
- The official implementation of DropGNN: Random Dropouts Increase the Expressiveness of Graph Neural Networks (NeurIPS 2021)☆26Updated 2 years ago
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆88Updated 3 years ago
- The released code for the paper: Search to aggregate neighborhood for graph neural network, in ICDE 2021.☆21Updated 2 years ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Updated 3 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆41Updated 3 years ago
- ☆41Updated 2 years ago
- Source code for CIKM-CSSA 2020 paper SNAG "Simplified Neural Architecture search for Graph Neural Networks".☆14Updated 4 years ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆77Updated 2 years ago
- PyTorch implementation of BGRL (https://arxiv.org/abs/2102.06514)☆81Updated last year
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆27Updated 2 years ago
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆19Updated last month
- How Powerful are Spectral Graph Neural Networks☆72Updated last year
- [ICML 2021] "A Unified Lottery Tickets Hypothesis for Graph Neural Networks", Tianlong Chen*, Yongduo Sui*, Xuxi Chen, Aston Zhang, Zhang…☆66Updated last year
- Official implementation of AAAI'22 paper "ProtGNN: Towards Self-Explaining Graph Neural Networks"☆52Updated 2 years ago
- ☆10Updated 3 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Updated 3 years ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆88Updated last year
- ☆37Updated 3 years ago
- 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
- Variational Graph Convolutional Networks☆23Updated 4 years ago
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆36Updated 2 years ago
- ☆24Updated 2 years ago
- Official implementation of the ICML2021 paper "Elastic Graph Neural Networks"☆41Updated 3 years ago