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:
- Benchmark☆103Updated last year
- Must-read papers on graph foundation models (GFMs)☆334Updated last week
- ☆11Updated 2 years ago
- ☆182Updated last year
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Updated 7 months ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆241Updated 4 months ago
- A multi-backend graph learning library.☆241Updated last month
- ☆57Updated 11 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆263Updated 9 months ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆227Updated last year
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Updated last year
- 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
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆45Updated 8 months ago
- A Survey of Learning from Graphs with Heterophily☆147Updated 6 months ago
- [NeurIPS 2021] Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods☆125Updated 3 years ago
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆35Updated 3 months ago
- [WWW 2024] Code and data for "On the Feasibility of Simple Transformer for Dynamic Graph Modeling"☆31Updated 11 months ago
- Instant Graph Neural Networks for Dynamic Graphs☆11Updated 2 years ago
- ☆115Updated last year
- Accompanied repositories for our paper Graph foundation model☆217Updated 9 months ago
- A PyTorch implementation of "Can Large Language Models Improve the Adversarial Robustness of Graph Neural Networks?" (KDD 2025)☆24Updated 2 months ago
- Diffusion-based Negative Sampling on Graphs for Link Prediction☆10Updated last year
- Augmenting Low-Resource Text Classification with Graph-Grounded Pre-training and Prompting. SIGIR-2023☆34Updated 7 months ago
- code for "Self-supervised representation learning on dynamic graphs"☆26Updated 3 years ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆32Updated last year
- Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.☆329Updated 2 years ago
- Long-range Meta-path Search through Progressive Sampling on Large-scale Heterogeneous Information Networks☆16Updated 9 months ago
- ☆80Updated 9 months ago
- ☆178Updated 7 months ago