yuziGuo / PolyFilterPlayground
☆14Updated last month
Related projects: ⓘ
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆11Updated last month
- Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks☆10Updated 6 months ago
- ☆144Updated 5 months ago
- Benchmark☆70Updated 5 months ago
- ☆72Updated 8 months ago
- Must-read papers on graph foundation models (GFMs)☆248Updated 2 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆88Updated last year
- ☆93Updated 11 months ago
- Awesome Graph Condensation Papers☆19Updated 2 weeks ago
- ☆37Updated this week
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆113Updated 2 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆215Updated last month
- A multi-backend graph learning library.☆212Updated last month
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆167Updated 3 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆163Updated 4 months ago
- ☆11Updated last year
- ☆14Updated 7 months ago
- The source code of HeCo☆155Updated 2 years ago
- Papers about out-of-distribution generalization on graphs.☆149Updated last year
- [WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"☆160Updated 4 months ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆299Updated last year
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆164Updated 11 months ago
- ☆128Updated last year
- code for "Self-supervised representation learning on dynamic graphs"☆26Updated 2 years ago
- Advances on machine learning of dynamic (temporal) graphs, covering the reading list of recent top academic conferences.☆52Updated 10 months ago
- ☆18Updated 6 months ago
- How Powerful are Spectral Graph Neural Networks☆70Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆29Updated 10 months ago
- [IJCAI 2024] Papers about graph reduction including graph coarsening, graph condensation, graph sparsification, graph summarization, etc.☆116Updated 2 weeks ago
- Accompanied repositories for our paper Graph foundation model☆120Updated last week