DongqiFu / VCR-Graphormer
VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections, ICLR 2024
☆9Updated 6 months ago
Related projects ⓘ
Alternatives and complementary repositories for VCR-Graphormer
- EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling☆47Updated 8 months ago
- ACMP: Allen-Cahn Message Passing with Attractive and Repulsive Forces for Graph Neural Networks(ICLR 2023)☆16Updated last year
- NeurIPS'22 Spotlight paper "Hierarchical Graph Transformer with Adaptive Node Sampling"☆47Updated last year
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆19Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆24Updated 5 months ago
- [ICLR 2023 notable top-5%] Rethinking the Expressive Power of GNNs via Graph Biconnectivity (official implementation)☆100Updated last year
- The code repository of "Towards Deep Attention in Graph Neural Networks: Problems and Remedies," published in ICML 2023.☆27Updated 4 months ago
- Graph Neural Convection-Diffusion with Heterophily☆11Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆95Updated last year
- Papers about developing DL methods on disassortative graphs☆48Updated 2 years ago
- Ratioanle-aware Graph Contrastive Learning codebase☆39Updated last year
- A collection of papers on Graph Structural Learning (GSL)☆50Updated 10 months ago
- ☆44Updated last month
- Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022)…☆58Updated last year
- A repository contains a collection of resources and papers on Imbalance Learning On Graphs☆84Updated 2 months ago
- ☆17Updated 8 months ago
- List of papers on ICML2023.☆55Updated last year
- Implementation of ICML'24 Paper "Less is More: on the Over-Globalizing Problem in Graph Transformers"☆34Updated 5 months ago
- The Open Source Code For ICML 2023 Paper "Finding the Missing-half: Graph Complementary Learning for Homophily-prone and Heterophily-pron…☆15Updated last year
- Conditional Diffusion Based on Discrete Graph Structures for Molecular Graph Generation☆30Updated last year
- ☆25Updated this week
- Source code for From Stars to Subgraphs (ICLR 2022)☆64Updated 7 months ago
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆26Updated last year
- An implementation of the Autoregressive Diffusion Model for Graph Generation from [Kong et al. 2023]☆25Updated last week
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆112Updated 8 months ago
- ☆163Updated last year
- PyTorch implementation of "BernNet: Learning Arbitrary Graph Spectral Filters via Bernstein Approximation"☆50Updated last year
- Code and dataset to test empirically the expressive power of graph pooling operators.☆33Updated last year
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆42Updated 2 years ago
- [ICLR 2023] "Equivariant Hypergraph Diffusion Neural Operators" by Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li☆37Updated 2 months ago