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Link Prediction

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하위 태스크: 6
평가표: 79
보존된 평가 기록: 497

Link Prediction is a task in graph and network analysis where the goal is to predict missing or future connections between nodes in a network. Given a partially observed network, the goal of link prediction is to infer which links are most likely to be added or missing based on the observed connections and the structure of the network.

<span style="color:grey; opacity: 0.6">( Image credit: Inductive Representation Learning on Large Graphs )</span>

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/uma-pi1/grash

공식 코드

Start Small, Think Big: On Hyperparameter Optimization for Large-Scale Knowledge Graph Embeddings

https://github.com/uma-pi1/kgt5-context

공식 코드

Friendly Neighbors: Contextualized Sequence-to-Sequence Link Prediction

https://github.com/uma-pi1/wikidata5m-si

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A Benchmark for Semi-Inductive Link Prediction in Knowledge Graphs

https://github.com/uoguelph-mlrg/LDG

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Learning Temporal Attention in Dynamic Graphs with Bilinear Interactions

https://github.com/upperr/DLSM

공식 코드

A Deep Latent Space Model for Graph Representation Learning

https://github.com/urielsinger/tNodeEmbed

공식 코드

Node Embedding over Temporal Graphs

https://github.com/urielsinger/tbdfs

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tBDFS: Temporal Graph Neural Network Leveraging DFS

https://github.com/utcsilab/ESI_HGE

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Hyperbolic Graph Embedding with Enhanced Semi-Implicit Variational Inference

https://github.com/venomouscyanide/s3grl

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Simplifying Subgraph Representation Learning for Scalable Link Prediction

https://github.com/venomouscyanide/s3grl_ogb

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Simplifying Subgraph Representation Learning for Scalable Link Prediction

https://github.com/venomouscyanide/scaled

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Sampling Enclosing Subgraphs for Link Prediction

https://github.com/vermouthdky/simteg

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SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning

https://github.com/vijaydwivedi75/lrgb

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Long Range Graph Benchmark

https://github.com/viktoraxelsen/tgsl

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Time-aware Graph Structure Learning via Sequence Prediction on Temporal Graphs

https://github.com/virresh/viking

공식 코드

Adversarial Attack on Network Embeddings via Supervised Network Poisoning

https://github.com/vitaminzl/hqa-gae

공식 코드

Hierarchical Vector Quantized Graph Autoencoder with Annealing-Based Code Selection

https://github.com/viz27/secomm

공식 코드

Unsupervised Constrained Community Detection via Self-Expressive Graph Neural Network

https://github.com/vuptran/graph-representation-learning

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Learning to Make Predictions on Graphs with Autoencoders

https://github.com/w-rudder/tea-glm

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LLMs as Zero-shot Graph Learners: Alignment of GNN Representations with LLM Token Embeddings

https://github.com/wangbo9719/StAR_KGC

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Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion

https://github.com/wangyifeibeijing/user

공식 코드

USER: Unsupervised Structural Entropy-based Robust Graph Neural Network

https://github.com/wangyu0627/gc-hgnn

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Generative-Contrastive Heterogeneous Graph Neural Network

https://github.com/wattpad/gatas

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Graph Representation Learning Network via Adaptive Sampling

https://github.com/weiganglu/skipnode

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SkipNode: On Alleviating Performance Degradation for Deep Graph Convolutional Networks

https://github.com/wenkelf/copt

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Towards a General Recipe for Combinatorial Optimization with Multi-Filter GNNs

https://github.com/williamleif/GraphSAGE

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Inductive Representation Learning on Large Graphs

https://github.com/williamweiwu/williamweiwu.github.io

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Hashing-Accelerated Graph Neural Networks for Link Prediction

https://github.com/wondergo2017/sild

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Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts

https://github.com/wonniu/AdvT4NE_WWW2019

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Adversarial Training Methods for Network Embedding

https://github.com/woodcutter1998/gdgnn

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Geodesic Graph Neural Network for Efficient Graph Representation Learning

https://github.com/wooner49/t-spear-shield

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Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs

https://github.com/working-yuhao/DEAL

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Inductive Link Prediction for Nodes Having Only Attribute Information

https://github.com/workrep20232/proxi

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PROXI: Challenging the GNNs for Link Prediction

https://github.com/wu-lab/moli

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Understanding the network formation pattern for better link prediction

https://github.com/wufangr/must

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MUST: Multi-Scale Structural-Temporal Link Prediction Model for UAV Ad Hoc Networks

https://github.com/wwbrannon/congrat

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ConGraT: Self-Supervised Contrastive Pretraining for Joint Graph and Text Embeddings

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