Lanczos Network, Graph Neural Networks, Deep Graph Convolutional Networks, Deep Learning on Graph Structured Data, QM8 Quantum Chemistry Benchmark, ICLR 2019
☆317Oct 18, 2019Updated 6 years ago
Alternatives and similar repositories for LanczosNetwork
Users that are interested in LanczosNetwork are comparing it to the libraries listed below
Sorting:
- Source code for our AAAI paper "Weisfeiler and Leman Go Neural: Higher-order Graph Neural Networks".☆190Mar 22, 2022Updated 3 years ago
- An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).☆405Nov 6, 2022Updated 3 years ago
- Source code for PairNorm (ICLR 2020)☆79Mar 26, 2020Updated 5 years ago
- official implementation for the paper "Simplifying Graph Convolutional Networks"☆847Dec 13, 2021Updated 4 years ago
- Implementations of "Break the Ceiling: Stronger Multi-scale Deep Graph Convolutional Networks"☆53Sep 25, 2024Updated last year
- PPNP & APPNP models from "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019)☆322Dec 9, 2024Updated last year
- How Powerful are Graph Neural Networks?☆1,275Jul 1, 2021Updated 4 years ago
- Tensorflow Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org☆629Jan 23, 2020Updated 6 years ago
- GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models☆735Jan 20, 2022Updated 4 years ago
- Attention over nodes in Graph Neural Networks using PyTorch [NeurIPS 2019]☆288Oct 25, 2020Updated 5 years ago
- ☆504Jan 13, 2021Updated 5 years ago
- Framework for evaluating Graph Neural Network models on semi-supervised node classification task☆491Dec 5, 2018Updated 7 years ago
- [ICML 2020] "When Does Self-Supervision Help Graph Convolutional Networks?" by Yuning You, Tianlong Chen, Zhangyang Wang, Yang Shen☆112Jun 10, 2021Updated 4 years ago
- ☆302Jul 17, 2022Updated 3 years ago
- Code for "Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification"☆54May 5, 2020Updated 5 years ago
- Adaptive Propagation Graph Convolutional Network☆24Sep 28, 2020Updated 5 years ago
- PyTorch Implementation of GraphTSNE, ICLR’19☆137Apr 27, 2019Updated 6 years ago
- A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).☆1,280Mar 18, 2023Updated 2 years ago
- Position-aware Graph Neural Networks☆402Oct 12, 2020Updated 5 years ago
- A PyTorch implementation of "Predict then Propagate: Graph Neural Networks meet Personalized PageRank" (ICLR 2019).☆374Nov 6, 2022Updated 3 years ago
- Second-Order Pooling for Graph Neural Networks☆16Jun 4, 2020Updated 5 years ago
- Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering☆1,367Jun 13, 2020Updated 5 years ago
- Deep Graph Infomax (https://arxiv.org/abs/1809.10341)☆663Nov 1, 2022Updated 3 years ago
- Graph Filter Neural Network (ICPR'20)☆48Aug 6, 2020Updated 5 years ago
- A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)☆605Mar 18, 2023Updated 2 years ago
- A PyTorch implementation of "Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks" (KDD 2019).☆806Nov 6, 2022Updated 3 years ago
- Official PyTorch implementation of "Towards Deeper Graph Neural Networks" [KDD2020]☆68Oct 11, 2022Updated 3 years ago
- Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"☆211Jul 6, 2023Updated 2 years ago
- This directory contains code necessary to run the GraphNAS algorithm.☆182Jul 6, 2023Updated 2 years ago
- code for the paper in NeurIPS 2019☆40Mar 24, 2023Updated 2 years ago
- links to conference publications in graph-based deep learning☆5,030Feb 7, 2026Updated 3 weeks ago
- Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".☆43Dec 7, 2020Updated 5 years ago
- Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org☆1,188Jul 31, 2022Updated 3 years ago
- Implementation of the paper "A New Perspective on the Effects of Spectrum in Graph Neural Networks"☆17Jun 17, 2022Updated 3 years ago
- Papers on Graph neural network(GNN)☆768Sep 18, 2023Updated 2 years ago
- Benchmark datasets, data loaders, and evaluators for graph machine learning☆2,075May 6, 2025Updated 9 months ago
- The code for the ICML 2021 paper "Graph Neural Networks Inspired by Classical Iterative Algorithms".☆43Jun 9, 2021Updated 4 years ago
- NeurIPS 2019 : Learning to Propagate for Graph Meta-Learning☆36Jan 11, 2020Updated 6 years ago
- A comprehensive collection of recent papers on graph deep learning☆3,077Dec 20, 2020Updated 5 years ago