qitianwu / SGFormer
The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"
☆234Updated 7 months ago
Alternatives and similar repositories for SGFormer:
Users that are interested in SGFormer are comparing it to the libraries listed below
- The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"☆295Updated 2 weeks ago
- [NeurIPS 2024] Implementation of "Classic GNNs are Strong Baselines: Reassessing GNNs for Node Classification"☆125Updated 3 months ago
- [ICML 2023] An official source code for paper "Dink-Net: Neural Clustering on Large Graphs".☆227Updated last year
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆42Updated 10 months ago
- [AAAI 2022] An official source code for paper Deep Graph Clustering via Dual Correlation Reduction.☆197Updated last year
- Code for EMNLP2023 paper "MolCA: Molecular Graph-Language Modeling with Cross-Modal Projector and Uni-Modal Adapter".☆79Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆158Updated 11 months ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆302Updated last year
- Graph-Mamba: Towards Long-Range Graph Sequence Modelling with Selective State Spaces☆273Updated last year
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆94Updated last year
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆154Updated last year
- [AAAI 2023] An official source code for paper Hard Sample Aware Network for Contrastive Deep Graph Clustering.☆214Updated 2 years ago
- Transformer-based Spectral Graph Neural Networks☆79Updated 5 months ago
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆181Updated 2 weeks ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆87Updated 10 months ago
- ☆114Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆189Updated 2 months ago
- A Survey of Learning from Graphs with Heterophily☆128Updated last month
- Source code for how powerful are K-hop message passing graph neural networks (Neurips 2022)☆63Updated last year
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆121Updated last year
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆59Updated 5 months ago
- ☆32Updated last year
- Official Pytorch code for Structure-Aware Transformer.☆256Updated 2 years ago
- [KDD 2023] What’s Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders☆84Updated 4 months ago
- A collection of resources on attention-based graph neural networks☆65Updated last year
- ☆51Updated 4 months ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆117Updated 3 months ago
- Code for TH-GNN (paper accepted by KDD2022)☆61Updated 11 months ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆50Updated last year
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆57Updated last year