Cloudy1225 / Awesome-Link-PredictionLinks
A list of recent papers about Link Prediction.
☆113Updated this week
Alternatives and similar repositories for Awesome-Link-Prediction
Users that are interested in Awesome-Link-Prediction are comparing it to the libraries listed below
Sorting:
- A Survey of Learning from Graphs with Heterophily☆152Updated 8 months ago
- ☆186Updated last year
- ☆123Updated 2 years ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆236Updated last year
- Code & data for AAAI'23 Oral paper "Heterogeneous Graph Masked Autoencoders".☆64Updated 2 years ago
- ☆49Updated last year
- ☆70Updated 11 months ago
- Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs☆307Updated 8 months ago
- Official Implementation of ICLR 2024 paper "Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representat…☆251Updated 7 months ago
- Must-read papers on graph foundation models (GFMs)☆351Updated 2 months ago
- Label-free Node Classification on Graphs with Large Language Models (LLMS)☆87Updated last year
- A Library for Dynamic Graph Learning (NeurIPS 2023)☆274Updated 2 years ago
- ☆51Updated 11 months ago
- ☆34Updated 2 years ago
- ☆60Updated 3 years ago
- PyTorch implementation of "Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials."☆19Updated 10 months ago
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆263Updated 11 months ago
- NAGphormer: A Tokenized Graph Transformer for Node Classification in Large Graphs☆132Updated last year
- GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks☆161Updated last year
- Comprehensive Benchmark Dataset for Dynamic Text-Attributed Graphs☆41Updated last year
- Advances on machine learning of graphs, covering the reading list of recent top academic conferences.☆223Updated last month
- Accompanied repositories for our paper Graph foundation model☆227Updated last year
- Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).☆82Updated 5 months ago
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆209Updated 10 months ago
- ☆130Updated 7 months ago
- NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN fra…☆86Updated 11 months ago
- A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)☆120Updated last year
- The source code of HeCo☆168Updated 3 years ago
- NIPS 24: Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights☆47Updated 10 months ago
- Official implementation of 'All in One and One for All: A Simple yet Effective Method towards Cross-domain Graph Pretraining' published i…☆42Updated last year