mkrzywda / GraphTransformers
Sandbox to analysis and benchmarking Graph Transformer Neural Networks
☆31Updated last year
Related projects: ⓘ
- code for the paper "GraphMaker: Can Diffusion Models Generate Large Attributed Graphs?"☆47Updated last week
- Evaluation of Methods for Temporal Knowledge Graph Forecasting☆28Updated 7 months ago
- Official code for the ICML 2021 paper "Generative Causal Explanations for Graph Neural Networks."☆64Updated 2 years ago
- Codes for Paper: From Hypergraph Energy Functions to Hypergraph Neural Networks☆21Updated last year
- PyTorch code of "SLAPS: Self-Supervision Improves Structure Learning for Graph Neural Networks"☆85Updated 2 years ago
- A curated list of publications and code about data augmentaion for graphs.☆63Updated 2 years ago
- Dynamic Graph Benchmark☆67Updated last year
- Pytorch implementation of "Large-Scale Representation Learning on Graphs via Bootstrapping"☆74Updated 2 years ago
- NeurIPS 2022 paper, SubHypergraph Inductive Neural nEtwork☆15Updated last year
- ☆10Updated 8 months ago
- ☆21Updated last year
- A collection of resources on attention-based graph neural networks☆44Updated 8 months ago
- Graph Transformers for Large Graphs☆19Updated 4 months ago
- [ICLR'23] Implementation of "Empowering Graph Representation Learning with Test-Time Graph Transformation"☆53Updated last year
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆52Updated last year
- Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"☆25Updated 2 years ago
- "Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training Data" (NeurIPS 21')☆47Updated 2 years ago
- Graph neural networks tutorial in pytorch (GCN, GAT, Node2vec, GraphSAge, ClusterGCN, ...)☆23Updated 2 years ago
- Neo-GNNs: Neighborhood Overlap-aware Graph Neural Networks for Link Prediction☆34Updated 2 years ago
- ☆22Updated 2 months ago
- This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", wh…☆81Updated 3 months ago
- [ICLR 2023] MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization☆74Updated last year
- PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks☆34Updated last year
- ☆28Updated 11 months ago
- ☆48Updated last year
- Unified Graph Transformer (UGT) is a novel Graph Transformer model specialised in preserving both local and global graph structures and d…☆20Updated 5 months ago
- [ICML 2022] Local Augmentation for Graph Neural Networks☆63Updated 3 months ago
- The implementation of our NeurIPS 2020 paper "Graph Geometry Interaction Learning" (GIL)☆44Updated 3 years ago
- Lifelong Embedding Learning and Transfer for Growing Knowledge Graphs, AAAI 2023☆27Updated last year
- Reinforced Causal Explainer for Graph Neural Networks, TPAMI2022☆31Updated 2 years ago