Edge-Augmented Graph Transformer
☆52Jun 7, 2022Updated 3 years ago
Alternatives and similar repositories for egt
Users that are interested in egt are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Edge-Augmented Graph Transformer☆81Feb 16, 2024Updated 2 years ago
- ☆11Apr 8, 2023Updated 3 years ago
- [IJCAI 2023] Graph Propagation Transformer for Graph Representation Learning☆50Oct 25, 2023Updated 2 years ago
- ☆154Aug 23, 2021Updated 4 years ago
- Official Pytorch code for Structure-Aware Transformer.☆262Feb 21, 2023Updated 3 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆21Aug 22, 2022Updated 3 years ago
- ☆34May 12, 2023Updated 2 years ago
- ☆15Nov 1, 2021Updated 4 years ago
- Code of "Analyzing the Expressive Power of Graph Neural Networks in a Spectral Perspective" paper published in ICLR2021☆46Jun 10, 2021Updated 4 years ago
- [BIB 2022] The official repository of our paper "Molormer: A Lightweight Self-Attention-Based Method Focused on Spatial Structure of Mole…☆12Oct 6, 2024Updated last year
- Official Pytorch implementation of Chromatic Graph Transformers☆10Jun 14, 2023Updated 2 years ago
- Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering☆13Aug 22, 2023Updated 2 years ago
- Code of "Breaking the Limits of Message Passing Graph Neural Networks" paper published in ICML2021☆42Jun 10, 2021Updated 4 years ago
- Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks☆23Jun 29, 2023Updated 2 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Graph Transformers for Large Graphs☆22Apr 26, 2024Updated 2 years ago
- ☆10Aug 13, 2021Updated 4 years ago
- Path integral based convolution and pooling☆30Feb 16, 2023Updated 3 years ago
- Official Code Repository for the paper "Edge Representation Learning with Hypergraphs" (NeurIPS 2021)☆54Dec 23, 2025Updated 4 months ago
- Effective drug-target interaction prediction with mutual interaction neural network☆33May 8, 2022Updated 4 years ago
- ☆36Feb 26, 2023Updated 3 years ago
- Recipe for a General, Powerful, Scalable Graph Transformer☆852Jul 4, 2024Updated last year
- ☆12May 10, 2024Updated 2 years ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆129Aug 20, 2025Updated 8 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- [NeurIPS'22] Tokenized Graph Transformer (TokenGT), in PyTorch☆347Apr 11, 2023Updated 3 years ago
- ☆21Jun 23, 2022Updated 3 years ago
- The code for our ICLR paper: StructPool: Structured Graph Pooling via Conditional Random Fields☆56Apr 27, 2020Updated 6 years ago
- Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.☆1,024Jul 27, 2021Updated 4 years ago
- Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022☆267Feb 10, 2022Updated 4 years ago
- Pytorch implementation for ICLR24:"Online GNN Evaluation Under Test-Time Graph Distribution Shifts"☆16Mar 23, 2024Updated 2 years ago
- The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classifica…☆313Mar 4, 2024Updated 2 years ago
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Jan 14, 2025Updated last year
- Papers about graph transformers.☆928Mar 19, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆49May 22, 2024Updated last year
- [CIKM-21] Pytorch implementation of LiteGT: Efficient and Lightweight Graph Transformers☆12Nov 16, 2021Updated 4 years ago
- Triplet Graph Transformer☆51Sep 17, 2025Updated 7 months ago
- This is the implementation and supplemental materials for paper "Deep Multi-attributed Graph Translation with Node-Edge Co-evolution"☆17Mar 30, 2020Updated 6 years ago
- The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"☆277Nov 13, 2025Updated 5 months ago
- PyTorch Reimplementation of AAAI2020 paper "GraLSP: Graph Neural Networks with Local Structural Patterns"☆11Oct 8, 2021Updated 4 years ago
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆51Oct 18, 2023Updated 2 years ago