azminewasi / Awesome-Graph-Research-ICML2024Links
All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.
☆213Updated 8 months ago
Alternatives and similar repositories for Awesome-Graph-Research-ICML2024
Users that are interested in Awesome-Graph-Research-ICML2024 are comparing it to the libraries listed below
Sorting:
- It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR)…☆95Updated 8 months ago
- All graph/GNN papers accepted at NeurIPS 2024.☆81Updated 8 months ago
- List of papers on NeurIPS2023☆89Updated last year
- ☆343Updated 6 months ago
- Accompanied repositories for our paper Graph foundation model☆208Updated 8 months ago
- ☆89Updated last year
- ☆207Updated 2 years ago
- GraphXAI: Resource to support the development and evaluation of GNN explainers☆192Updated last year
- A curated list of papers on pre-training for graph neural networks (Pre-train4GNN).☆198Updated 6 months ago
- List of papers on ICML2023.☆55Updated last year
- Code for our paper "Attending to Graph Transformers"☆89Updated last year
- A collection of papers studying/improving the expressiveness of graph neural networks (GNNs)☆126Updated last year
- List of papers on ICLR 2024☆56Updated last year
- Long Range Graph Benchmark, NeurIPS 2022 Track on D&B☆157Updated last year
- Official Implementation of ICML 2023 paper: "A Generalization of ViT/MLP-Mixer to Graphs"☆160Updated last year
- Transformer-based Spectral Graph Neural Networks☆86Updated 9 months ago
- A Critical Look at the Evaluation of GNNs under Heterophily: Are We Really Making Progress?☆119Updated 2 years ago
- This is an official implementation for "GRIT: Graph Inductive Biases in Transformers without Message Passing".☆126Updated 7 months ago
- GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23☆164Updated 2 years ago
- GraphAny: Fully-inductive Node Classification on Arbitrary Graphs☆141Updated 5 months ago
- A list for GNNs and related works.☆95Updated last week
- This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications…☆54Updated 2 years ago
- code for Graph Neural Networks for Link Prediction with Subgraph Sketching https://arxiv.org/abs/2209.15486☆96Updated last year
- This repository contains the resources on graph neural network (GNN) considering heterophily.☆262Updated 7 months ago
- code for the paper "DiGress: Discrete Denoising diffusion for graph generation"☆441Updated 3 months ago
- A collection of resources on attention-based graph neural networks☆76Updated last year
- Dir-GNN is a machine learning model that enables learning on directed graphs.☆81Updated 2 years ago
- A fundational graph learning framework that solves cross-domain/cross-task classification problems using one model.☆225Updated last year
- ☆29Updated last year
- This is the official repository for our paper KAGNNs: Kolmogorov-Arnold Networks meet Graph Learning.