h22hyeon

jaal

Your interactive network visualizing dashboard

mamba-minimal

Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

graph2nn

code for paper "Graph Structure of Neural Networks"

Inductive-representation-learning-on-temporal-graphs

benchtemp

BenchTemp: A General Benchmark for Evaluating Temporal Graph Neural Networks

DECOR

Data and code for "DECOR: Degree-Corrected Social Graph Refinement for Fake News Detection" (KDD 2023)

G-NIA

G-NIA model from "Single Node Injection Attack against Graph Neural Networks" (CIKM 2021)

ProG

A Unified Python Library for Graph Prompting

fraud-dataset-benchmark

Repository for Fraud Dataset Benchmark

GNNGuard

Defending graph neural networks against adversarial attacks (NeurIPS 2020)

Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

STGCN-PyTorch

🚗 Implementation of spatio-temporal graph convolutional network with PyTorch

gnn-meta-attack

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

nettack

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

meta_kge

Knowledge Graph Embedding via Metagraph Learning (SIGIR 2021)

BiVE

Learning Representations of Bi-Level Knowledge Graphs for Reasoning beyond Link Prediction (AAAI 2023)

InGram

InGram: Inductive Knowledge Graph Embedding via Relation Graphs (ICML 2023)

HyNT

Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers (KDD 2023)

DeepRobust

A pytorch adversarial library for attack and defense methods on images and graphs

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

Conference-Accepted-Paper-List

Some Conferences' accepted paper lists (including AI, ML, Robotic)

Awesome-Graph-Anomaly-Detection

A collection of papers for graph anomaly detection, and published algorithms and datasets.

awesome-graph-attack-papers

Adversarial attacks and defenses on Graph Neural Networks.

Graph_Transformer_Networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Dataloader-Optimization

Getting GPU Util 99%

graphSAGE-pytorch

A PyTorch implementation of GraphSAGE. This package contains a PyTorch implementation of GraphSAGE.

ACM-GNN

NeurIPS 2022, Revisiting Heterophily For Graph Neural Networks, official PyTorch implementation for Adaptive Channel Mixing (ACM) GNN framework

KGAT-pytorch

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!