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This is the official implementation of Residual Propagation (RP) proposed in "How Graph Neural Networks Learn: Lessons from Training Dynamics", which is accepted to ICML 2024.

Jupyter Notebook 9 Updated May 28, 2024

The official implementation for NeurIPS2023 paper "SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations"

Python 229 21 Updated Aug 14, 2024

Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""

Python 122 39 Updated Jul 15, 2024

A curated list of resources for OOD detection with graph data.

18 1 Updated Dec 30, 2023

A comprehensive benchmark of Graph Structure Learning (NeurIPS 2023 Datasets and Benchmarks Track)

Python 111 13 Updated Feb 29, 2024

New structural distributional shifts for evaluating graph models

Python 16 Updated Oct 25, 2023

PyTorch implementation of GraphGLOW: Universal and Generalizable Structure Learning for Graph Neural Networks

Python 36 Updated Jun 28, 2023

[SIGKDD 2023] HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline

Python 20 Updated Jun 16, 2023

PyTorch code for Diffusion Mechanism in Neural Network: Theory and Applications

Python 39 6 Updated Jan 21, 2024
Python 11 Updated Feb 22, 2023

Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

Python 18,740 1,943 Updated Apr 4, 2024

The official implementation for ICLR23 spotlight paper "DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion"

Python 292 32 Updated Aug 15, 2024

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

Python 515 90 Updated Dec 1, 2023

The official implementation for ICLR23 paper "GNNSafe: Energy-based Out-of-Distribution Detection for Graph Neural Networks"

Python 78 5 Updated Jul 27, 2023

The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning" (TheWebConf 2023).

Python 62 3 Updated Jun 8, 2023

This is the official code repository for "Graph Neural Networks are Inherently Good Generalizers: Insights by Bridging GNNs and MLPs", which is accepted to ICLR 2023.

Python 87 Updated May 28, 2024

We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.

96 6 Updated Feb 23, 2023

Personal Webpage

HTML 262 122 Updated Feb 20, 2025

The official implementation for "Towards Out-of-Distribution Sequential Event Prediction: A Causal Treatment" which is accepted to NeurIPS 2022.

Python 22 1 Updated May 7, 2024

The official implementation for "Geometric Knowledge Distillation: Topology Compression for Graph Neural Networks" which is accepted to NeurIPS 2022.

Python 20 2 Updated May 7, 2024

Papers about graph transformers.

833 72 Updated Apr 12, 2024

The official implementation of NeurIPS22 spotlight paper "NodeFormer: A Scalable Graph Structure Learning Transformer for Node Classification"

Jupyter Notebook 299 30 Updated Mar 4, 2024

A collection of papers on Graph Structural Learning (GSL)

54 5 Updated Jan 8, 2024

Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022).

Python 61 6 Updated Feb 16, 2023

A Python Graph Matching Toolkit.

Python 325 20 Updated Oct 21, 2024

Official implementation for GraphDE: A Generative Framework for Debiased Learning and Out-of-Distribution Detection on Graphs (NeurIPS 2022).

Python 20 3 Updated Oct 14, 2022

Official PyTorch implementation for the following KDD2022 paper: Variational Inference for Training Graph Neural Networks in Low-Data Regime through Joint Structure-Label Estimation

Python 19 1 Updated Oct 20, 2022

😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

1,815 228 Updated May 24, 2024

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Python 2,732 379 Updated Feb 9, 2025

The official implementation for ICLR22 paper "Handling Distribution Shifts on Graphs: An Invariance Perspective"

Python 84 9 Updated Nov 24, 2022
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