zxlearningdeep / InfoMGFLinks
[NeurIPS'24] The source code for "Beyond Redundancy: Information-aware Unsupervised Multiplex Graph Structure Learning".
☆36Updated 11 months ago
Alternatives and similar repositories for InfoMGF
Users that are interested in InfoMGF are comparing it to the libraries listed below
Sorting:
- A curated list of papers on graph structure learning (GSL).☆53Updated last year
- Resource for "A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective"☆39Updated 9 months ago
- A collection of papers on Graph Structural Learning (GSL)☆58Updated 2 years ago
- The official implement of SIGKDD'24 paper: ZeroG: Investigating Cross-dataset Zero-shot Transferability in Graphs☆35Updated last year
- ☆15Updated 2 years ago
- The implementation for DropMessage.☆39Updated 2 years ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆92Updated 2 years ago
- Pytorch implementation of NeurIPS-23:"Structure-free Graph Condensation (SFGC): From Large-scale Graphs to Condensed Graph-free Data"☆37Updated 2 years ago
- Open Source Code for GAugLLM: Improving Graph Contrastive Learning for Text-Attributed Graphs with Large Language Models (KDD'24)☆29Updated last year
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆46Updated last year
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆88Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆25Updated 2 years ago
- Papers about Graph Contrastive Learning and Graph Self-supervised Learning on Graphs with Heterophily☆38Updated 2 years ago
- [Neurips 2024] Disentangled Graph Homophily☆28Updated last year
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆50Updated last year
- This is the official repository for NeurIPS 2023 paper "Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First"☆17Updated 2 years ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆123Updated last year
- GraphACL: Simple and Asymmetric Graph Contrastive Learning (NeurIPS 2023)☆34Updated last year
- ☆26Updated last year
- [NeurIPS 2023] "Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift" by Yongduo Sui, Qitian Wu, Jiancan Wu, Q…☆17Updated 2 years ago
- ICML 2022, Finding Global Homophily in Graph Neural Networks When Meeting Heterophily☆46Updated 3 years ago
- PyTorch implementation of "PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters"☆15Updated last year
- n awesome&curated list of the advanced graph data-centric (i.e., graph sparsification, graph denoise, graph condensation) learning papers☆17Updated 8 months ago
- [ICML 2025] Official implementation for paper "A Comprehensive Analysis on LLM-based Node Classification Algorithms"☆67Updated 7 months ago
- [WSDM'23] GOOD-D: On Unsupervised Graph Out-Of-Distribution Detection☆45Updated 2 years ago
- [KDD'23] Learning Strong Graph Neural Networks with Weak Information☆43Updated 2 years ago
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Updated last year
- The code Implementation of the paper “Universal Prompt Tuning for Graph Neural Networks”.☆37Updated 2 years ago
- [AAAI'23] Beyond Smoothing: Unsupervised Graph Representation Learning with Edge Heterophily Discriminating☆53Updated 3 years ago
- Kolmogorov Arnold Networks (KANs) for Graph Neural Networks (GNNs) and Tasks on Graphs☆66Updated last year