RingBDStack

RingBDStack

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RingBDStack's repositories

DRL-DBSCAN

Code for DRL-DBSCAN

EAGLE

Code for "Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization (EAGLE)"

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SGDD

Code for SGDD

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PASTEL

Code for "Position-aware Structure Learning for Graph Topology-imbalance by Relieving Under-reaching and Over-squashing"

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DGIB

This repository is the official implementation of "Dynamic Graph Information Bottleneck (DGIB)" accepted by the research tracks of The Web Conference 2024 (WWW 2024).

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RTGNN

Code for the paper "Multi-view Tensor Graph Neural Networks Through Reinforced Aggregation"

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HyperIMBA

Code for "Hyperbolic Geometric Graph Representation Learning for Hierarchy-imbalance Node Classification"

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SE-GSL

The code for "SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization"

PRI-GSL

Code for "Self-organization Preserved Graph Structure Learning with Principle of Relevant Information" (AAAI 2023)

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HypDiff

This repository is the official implementation of "Hyperbolic Geometric Latent Diffusion Model for Graph Generation (HypDiff)" accepted by the research tracks of International Conference on Machine Learning 2024 (ICML 2024).

ICL-Incremental-InfoNCE

Source code and materials for "Unbiased and Efficient Self-Supervised Incremental Contrastive Learning" in WSDM 2023.

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IGL-Bench

A comprehensive benchmark of Imbalanced Graph Learning (submitted to NeurIPS 2024 Datasets and Benchmarks Track)

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ELCO

a Heuristic Semi-supervised Learning Framework

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ReGCL

Code for AAAI 2024 paper ''ReGCL: Rethinking Message Passing in Graph Contrastive Learning''.

RGMIL

Code for "Reinforced GNNs for Multiple Instance Learning"

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CLKD

Cross-lingual Knowledge Distillation framework

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HoMo-DyHNE

Datasets and code for paper "Higher-Order Memory Guided Temporal Random Walk for Dynamic Heterogeneous Network Embedding".

RPLM_SED

Relational Prompt-based Pre-trained Language Model for Social Event Detection

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UCL_SED

This repository contains the source code and preprocessed dataset for paper Uncertainty-guided Boundary Learning for Imbalanced Social Event Detection.

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GC-Bench

An Open and Unified Benchmark for Graph Condensation (submitted to NeurIPS 2024 Datasets and Benchmarks Track)

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PoinDP

Code for 'Poincar\'e Differential Privacy for Hierarchy-Aware Graph Embedding'

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SIDM

We propose a new, unsupervised, and adaptive Decision-Making framework called SIDM for Reinforcement Learning. This approach handles high complexity environments without manual intervention, and increases sample efficiency and policy effectiveness. site at https://ringbdstack.github.io/SIDM/

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