[ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
☆76Apr 5, 2023Updated 2 years ago
Alternatives and similar repositories for MLPInit-for-GNNs
Users that are interested in MLPInit-for-GNNs are comparing it to the libraries listed below
Sorting:
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs".☆90May 28, 2024Updated last year
- The open source code for ICDM2022 paper "Unifying Graph Contrastive Learning with Flexible Contextual Scopes"☆21Oct 3, 2022Updated 3 years ago
- [ICLR 2023] Link Prediction with Non-Contrastive Learning☆25Jan 13, 2023Updated 3 years ago
- LazyGNN: Large-Scale Graph Neural Networks via Lazy Propagation ICML_2023☆13Oct 27, 2023Updated 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…☆64Mar 8, 2023Updated 2 years ago
- Official repository for NeurIPS'23 paper: GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Augmentation☆17Oct 1, 2023Updated 2 years ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Mar 2, 2023Updated 3 years ago
- Graph Transformers for Large Graphs☆22Apr 26, 2024Updated last year
- Official code implementation for WSDM 23 paper Graph Sequential Neural ODE Process for Link Prediction on Dynamic and Sparse Graphs.☆34May 12, 2023Updated 2 years ago
- Official code for the LoG2022 paper -- MSGNN: A Spectral Graph Neural Network Based on a Novel Magnetic Signed Laplacian.☆13Feb 8, 2025Updated last year
- Spectral Graph Attention Network with Fast Eigen-approximation☆12Dec 24, 2021Updated 4 years ago
- [CIKM'2023] "GTE: How Expressive are Graph Neural Networks for Recommendation?"☆22Aug 23, 2023Updated 2 years ago
- The implementation for the NeurIPS 2022 paper Parameter-free Dynamic Graph Embedding for Link Prediction.☆16Dec 7, 2022Updated 3 years ago
- A collection of papers and resources about Data Centric Graph Machine Learning (DC-GML)☆39Sep 23, 2023Updated 2 years ago
- [IJCAI 2021] A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning".☆40Oct 13, 2022Updated 3 years ago
- [NeurIPS 2022] The official PyTorch implementation of "Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dyna…☆54Nov 23, 2022Updated 3 years ago
- Variational Graph Convolutional Networks☆23Oct 16, 2020Updated 5 years ago
- Official repository for ICLR'23 paper: Multi-task Self-supervised Graph Neural Network Enable Stronger Task Generalization☆38Jan 30, 2023Updated 3 years ago
- A curated list of graph data augmentation papers.☆311Apr 17, 2024Updated last year
- Largest realworld open-source graph dataset - Worked done under IBM-Illinois Discovery Accelerator Institute and Amazon Research Awards a…☆86Jun 16, 2025Updated 8 months ago
- [KDD 2024] Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective☆19Jun 26, 2024Updated last year
- [ICLR 2022] Implementation of paper "Automated Self-Supervised Learning for Graphs"☆42Jul 25, 2022Updated 3 years ago
- [ICML 2023] Linkless Link Prediction via Relational Distillation☆23Oct 4, 2023Updated 2 years ago
- A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).☆89Oct 15, 2024Updated last year
- Quickest way to share everything about your research within a single app☆16Feb 1, 2024Updated 2 years ago
- Source Code for ICML 2022 paper "Boosting Graph Structure Learning with Dummy Nodes"☆20Apr 24, 2023Updated 2 years ago
- Pytorch implementation for NeurIPS-23:"GNNEvaluator: Evaluating GNN Performance On Unseen Graphs Without Labels"☆19Mar 21, 2024Updated last year
- ☆98Jul 5, 2024Updated last year
- The source code for Adaptive Kernel Graph Neural Network at AAAI2022☆14Feb 23, 2022Updated 4 years ago
- The official code of EMNLP 2022, "How Far are We from Robust Long Abstractive Summarization?".☆18Sep 26, 2023Updated 2 years ago
- A paper list for box embeddings☆17Jun 9, 2021Updated 4 years ago
- Bags of Tricks in OGB (node classification) with GCNs.☆37Aug 11, 2021Updated 4 years ago
- Code & data for ICLR'23 Spotlight paper "Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency".☆34Feb 28, 2023Updated 3 years ago
- AAAI'21: Data Augmentation for Graph Neural Networks☆194Apr 24, 2024Updated last year
- The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"☆312Jul 2, 2025Updated 8 months ago
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆17Oct 27, 2023Updated 2 years ago
- Implementation for Simple Spectral Graph Convolution in ICLR 2021☆85Oct 7, 2022Updated 3 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆270Dec 4, 2024Updated last year
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆64Jun 23, 2023Updated 2 years ago