Cover Image

PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yu, Qi, Zeng, Zhichen, Yan, Yuchen, Liu, Zhining, Jing, Baoyu, Qiu, Ruizhong, Azad, Ariful, Tong, Hanghang
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

AIM: Attributing, Interpreting, Mitigating Data Unfairness
by: Liu, Zhining, et al.
Published: (2024)

AvAtar: Learning to Align via Active Optimal Transport
by: Yu, Qi, et al.
Published: (2026)

Hierarchical Multi-Marginal Optimal Transport for Network Alignment
by: Zeng, Zhichen, et al.
Published: (2023)

Joint Optimal Transport and Embedding for Network Alignment
by: Yu, Qi, et al.
Published: (2025)

Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
by: Qiu, Ruizhong, et al.
Published: (2024)

BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting
by: Lin, Xiao, et al.
Published: (2024)

Matcha: Mitigating Graph Structure Shifts with Test-Time Adaptation
by: Bao, Wenxuan, et al.
Published: (2024)

Class-Imbalanced Graph Learning without Class Rebalancing
by: Liu, Zhining, et al.
Published: (2023)

Pave Your Own Path: Graph Gradual Domain Adaptation on Fused Gromov-Wasserstein Geodesics
by: Zeng, Zhichen, et al.
Published: (2025)

How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark
by: Qiu, Ruizhong, et al.
Published: (2024)

THeGCN: Temporal Heterophilic Graph Convolutional Network
by: Yan, Yuchen, et al.
Published: (2024)

Graph Data Selection for Domain Adaptation: A Model-Free Approach
by: Li, Ting-Wei, et al.
Published: (2025)

Ensuring User-side Fairness in Dynamic Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2023)

CATS: Mitigating Correlation Shift for Multivariate Time Series Classification
by: Lin, Xiao, et al.
Published: (2025)

Ask, and it shall be given: On the Turing completeness of prompting
by: Qiu, Ruizhong, et al.
Published: (2024)

Graph Homophily Booster: Rethinking the Role of Discrete Features on Heterophilic Graphs
by: Qiu, Ruizhong, et al.
Published: (2025)

STERLING: Synergistic Representation Learning on Bipartite Graphs
by: Jing, Baoyu, et al.
Published: (2023)

Discrete-state Continuous-time Diffusion for Graph Generation
by: Xu, Zhe, et al.
Published: (2024)

ARIEL: Adversarial Graph Contrastive Learning
by: Feng, Shengyu, et al.
Published: (2022)

Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learning
by: Qiu, Ruizhong, et al.
Published: (2026)

Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting
by: Liu, Zhining, et al.
Published: (2025)

Hierarchical LoRA MoE for Efficient CTR Model Scaling
by: Zeng, Zhichen, et al.
Published: (2025)

Heterogeneous Contrastive Learning for Foundation Models and Beyond
by: Zheng, Lecheng, et al.
Published: (2024)

Saffron-1: Safety Inference Scaling
by: Qiu, Ruizhong, et al.
Published: (2025)

Latte: Collaborative Test-Time Adaptation of Vision-Language Models in Federated Learning
by: Bao, Wenxuan, et al.
Published: (2025)

Shapley-Value-Based Graph Sparsification for GNN Inference
by: Akkas, Selahattin, et al.
Published: (2025)

GNNShap: Scalable and Accurate GNN Explanation using Shapley Values
by: Akkas, Selahattin, et al.
Published: (2024)

ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning
by: Qiu, Ruizhong, et al.
Published: (2026)

TSAQA: Time Series Analysis Question And Answering Benchmark
by: Jing, Baoyu, et al.
Published: (2026)

Reconstructing Graph Diffusion History from a Single Snapshot
by: Qiu, Ruizhong, et al.
Published: (2023)

PyG-SSL: A Graph Self-Supervised Learning Toolkit
by: Zheng, Lecheng, et al.
Published: (2024)

Flow Matching Meets Biology and Life Science: A Survey
by: Li, Zihao, et al.
Published: (2025)

SparseTransX: Efficient Training of Translation-Based Knowledge Graph Embeddings Using Sparse Matrix Operations
by: Anik, Md Saidul Hoque, et al.
Published: (2025)

CLIMB: Class-imbalanced Learning Benchmark on Tabular Data
by: Liu, Zhining, et al.
Published: (2025)

Harnessing Consistency for Robust Test-Time LLM Ensemble
by: Zeng, Zhichen, et al.
Published: (2025)

iSpLib: A Library for Accelerating Graph Neural Networks using Auto-tuned Sparse Operations
by: Anik, Md Saidul Hoque, et al.
Published: (2024)

WAPITI: A Watermark for Finetuned Open-Source LLMs
by: Chen, Lingjie, et al.
Published: (2024)

Continual Low-Rank Adapters for LLM-based Generative Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2025)

PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis
by: He, Xinyu, et al.
Published: (2025)

DistShap: Scalable GNN Explanations with Distributed Shapley Values
by: Akkas, Selahattin, et al.
Published: (2025)