pcy1302

pytorch-template

PyTorch deep learning projects made easy.

graph-fraud-detection-papers

A curated list of graph-based fraud, anomaly, and outlier detection papers & resources

chameleon-llm

Codes for "Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models".

AnomalyGPT

[AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models

dl4math

Resources of deep learning for mathematical reasoning (DL4MATH).

AFGRL

The official source code for "Augmentation-Free Self-Supervised Learning on Graphs"

torch-LLM4SGG

Official PyTorch implementation Source code for LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation, accepted at CVPR 2024

awesome-molecule-text

Papers about Molecular Machine Learning (MoML) given its human language textual description

CGIB

The official source code for "Conditional Graph Information Bottleneck for Molecular Relational Learning".

LTE4G

The official source code for "LTE4G: Long-Tail Experts for Graph Neural Networks" paper, accepted at CIKM 2022.

PERIS

Official code of Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability [CIKM'22]

MELT

Official PyTorch implementation Source code for MELT: Mutual Enhancement of Long-Tailed User and Item for Sequential Recommendation, accepted at SIGIR 2023

Multimodal-Medical

GraFN

The official source code for "GraFN: Semi-Supervised Node Classification on Graph with Few Labels via Non-Parametric Distribution Assignment"

hetsgg-torch

Hetsgg

RGRL

The official source code for "Relational Self-Supervised Learning on Graphs"

TEG

The official source code for Task-Equivariant Graph Few-shot Learning (TEG) at KDD 2023.

scGPCL

The official source code for "Deep single-cell RNA-seq data clustering with graph prototypical contrastive learning", accepted at Bioinformatics (Volume 39, June 2023) and 2023 ICML workshop on Computational Biology.

torch-SP-AGCL

The official source code for Similarity Preserving Adversarial Graph Contrastive Learning (SP-AGCL) at KDD 2023.

CMRL

The official source code for "Shift-Robust Molecular Relational Learning with Causal Substructure"

torch-ST-SGG

Official PyTorch implementation Source code for Adaptive Self-Training Framework for Fine-grained Scene Graph generation (ST-SGG), accepted at ICLR 2024

S-Mixup

The official source code for "S-Mixup: Structural Mixup for Graph Neural Networks", accepted at CIKM 2023 (Short Paper).

MUSE

The official source code for "MUSE: Music Recommender System with Shuffle Play Recommendation Enhancement", accepted at CIKM2023

DOSTransformer

The offical source code for [2023 Neurips] " Density of States Prediction of Crystalline Materials via Prompt-guided Multi-Modal Transformer"

CLAD

The official source code for "Class Label-aware Graph Anomaly Detection", accepted at CIKM 2023.

TERACON

scFP

The official source code for "Single-cell RNA-seq data imputation using Feature Propagation", accepted at 2023 ICML Workshop on Computational Biology (Best Paper, Contributed talk).

NaQ-PyTorch

The official source code of the paper "Unsupervised Episode Generation for Graph Meta-learning" (to be presented in ICML 2024)

PGIB

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