Graph-COM / SPELinks
Official code for SPE
☆17Updated last year
Alternatives and similar repositories for SPE
Users that are interested in SPE are comparing it to the libraries listed below
Sorting:
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆97Updated last year
- [ICML 2024] Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)☆14Updated last year
- Code for our paper "Attending to Graph Transformers"☆91Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆160Updated last year
- [ICML 2025] Generalization Principles for Inference over Text-Attributed Graphs with Large Language☆14Updated 3 months ago
- Ratioanle-aware Graph Contrastive Learning codebase☆43Updated 2 years ago
- ☆58Updated 4 years ago
- ☆19Updated 2 years ago
- [ICLR 2024] VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs☆103Updated last year
- Source code for From Stars to Subgraphs (ICLR 2022)☆71Updated last year
- ☆48Updated last year
- ☆90Updated 2 years ago
- Reference implementation for SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators (ICML …☆26Updated 3 years ago
- Towards Better Graph Representation Learning with Parameterized Decomposition & Filtering☆13Updated 2 years ago
- [VLDB'22] SUREL is a novel walk-based computation framework for efficient subgraph-based graph representation learning.☆19Updated 6 months ago
- Main code for "Revisiting over-smoothing and over-squashing using the Ollivier-Ricci curvature" paper☆17Updated 2 years ago
- This repo contains a reference implementation for the paper "Breaking the Limit of Graph Neural Networks by Improving the Assortativity o…☆32Updated 3 years ago
- Official Implementation of "D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion"☆23Updated 2 years ago
- Graph Positional and Structural Encoder☆53Updated 9 months ago
- Rex Ying's Ph.D. Thesis, Stanford University☆41Updated 3 years ago
- ☆42Updated 2 years ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆47Updated 10 months ago
- ☆129Updated 6 months ago
- List of papers on ICLR 2024☆58Updated last year
- [WWW 2021 GLB] New Benchmarks for Learning on Non-Homophilous Graphs☆116Updated 3 years ago
- ☆25Updated last year
- Towards Multi-Grained Explainability for Graph Neural Networks (NeurIPS 2021) + Pytorch Implementation of GNN attribution methods☆70Updated 8 months ago
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆82Updated 2 years ago
- [ICLR 2023] Learnable Randomness Injection (LRI) for interpretable Geometric Deep Learning.☆24Updated 2 years ago
- Official implementation of Inductive Logical Query Answering in Knowledge Graphs (NeurIPS 2022)☆46Updated 2 years ago