Adaptive Graph Convolutional Recurrent Network

A pytorch library for graph and hypergraph computation.

Python toolkit for quantitative finance

SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".

Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

Paper Lists for Graph Neural Networks

A Note On Over-Smoothing for Graph Neural Network

[ICLR'22] [KDD'22] [IJCAI'24] Implementation of "Graph Condensation for Graph Neural Networks"

Graph Markov Neural Networks

Kolmogorov Arnold Networks

A simple, elegant LaTeX template with dark mode support

Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"

PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

A curated list of Hypergraph Learning, Hypergraph Theory, Hypergraph Dataset and Hypergraph Tool.

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas…

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

links to conference publications in graph-based deep learning

This repository holds code and other relevant files for the Learning on Graphs 2022 tutorial "Graph Rewiring: From Theory to Applications in Fairness"

PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

Graph Convolutional Networks in PyTorch

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

DHGNN source code for IJCAI19 paper: "Dynamic Hypergraph Neural Networks"

Graph Diffusion Convolution, as proposed in "Diffusion Improves Graph Learning" (NeurIPS 2019)

Ollivier-Ricci Curvature for Hypergraphs: A Unified Framework (ICLR 2023)

PFLD pytorch Implementation

Conformalized matrix completion

This aspect-polarity extraction is known as ABSA and is a combination of methodologies for sentiment analysis on Aspects. In an explicit aspect, an opinion is conveyed on a target (opinion target).

Practical study of word embedding

Assignments for a Graduate Databases course