yuziGuo / PolyFilterPlaygroundLinks
☆14Updated 8 months ago
Alternatives and similar repositories for PolyFilterPlayground
Users that are interested in PolyFilterPlayground are comparing it to the libraries listed below
Sorting:
- ☆11Updated 2 years ago
- Must-read papers on graph foundation models (GFMs)☆328Updated last month
- ☆180Updated last year
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- Benchmark☆102Updated last year
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆226Updated last year
- ☆19Updated 6 months ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆37Updated last year
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆236Updated 3 months ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆262Updated 8 months ago
- ☆56Updated 10 months ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆45Updated 7 months ago
- Accompanied repositories for our paper Graph foundation model☆211Updated 8 months ago
- A multi-backend graph learning library.☆240Updated last week
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆124Updated 3 years ago
- A Survey of Learning from Graphs with Heterophily☆145Updated 5 months ago
- The code of paper LMC: Fast Training of GNNs via Subgraph Sampling with Provable Convergence. Zhihao Shi, Xize Liang, Jie Wang. ICLR 2023…☆46Updated 2 years ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆32Updated last year
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆35Updated 3 months ago
- ☆139Updated last year
- Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023☆33Updated 6 months ago
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆327Updated 2 years ago
- n awesome&curated list of the advanced graph data-centric (i.e., graph sparsification, graph denoise, graph condensation) learning papers☆16Updated 2 months ago
- Papers about out-of-distribution generalization on graphs.☆165Updated 2 years ago
- ☆178Updated 7 months ago
- A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)☆24Updated 2 months ago
- Instant Graph Neural Networks for Dynamic Graphs☆11Updated 2 years ago
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆254Updated last year
- Awesome Papers About Performing Prompting On Graphs☆399Updated 2 months ago
- "GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection" in NeurIPS 2023☆129Updated last year