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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/francoisluus/KGReasoning

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Logic Embeddings for Complex Query Answering

https://github.com/fsoft-ai4code/repohyper

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RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion

https://github.com/fudancisl/freegem

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Parameter-free Dynamic Graph Embedding for Link Prediction

https://github.com/fuguoji/Event2vec

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Representation Learning for Heterogeneous Information Networks via Embedding Events

https://github.com/fuguoji/HSRL

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Learning Topological Representation for Networks via Hierarchical Sampling

https://github.com/genetasefa/raild

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RAILD: Towards Leveraging Relation Features for Inductive Link Prediction In Knowledge Graphs

https://github.com/gidecarlo/vitagraph

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VitaGraph: Building a Knowledge Graph for Biologically Relevant Learning Tasks

https://github.com/gidiko/digae

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Directed Graph Auto-Encoders

https://github.com/giovannitra/savage

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Sparse Vicious Attacks on Graph Neural Networks

https://github.com/gitgiter/Graph-Adversarial-Learning

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A Survey of Adversarial Learning on Graphs

https://github.com/gjiaying/hyperpave

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Multi-Label Zero-Shot Product Attribute-Value Extraction

https://github.com/gknl/smile

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SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction

https://github.com/glaciohound/lerp

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Logical Entity Representation in Knowledge-Graphs for Differentiable Rule Learning

https://github.com/gmcmt/graph_prompt_extension

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Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs

https://github.com/google-research/google-research

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Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks

https://github.com/google-research/google-research/tree/master/dot_vs_learned_similarity

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Neural Collaborative Filtering vs. Matrix Factorization Revisited

https://github.com/google-research/google-research/tree/master/fm4tlp

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Transfer Learning for Temporal Link Prediction

https://github.com/google-research/google-research/tree/master/graph_embedding/persona

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Is a Single Embedding Enough? Learning Node Representations that Capture Multiple Social Contexts

https://github.com/goolig/DDI_prediction

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Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures

https://github.com/govindjsk/catsetmat

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The CAT SET on the MAT: Cross Attention for Set Matching in Bipartite Hypergraphs

https://github.com/graph-com/neighborhood-aware-temporal-network

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Neighborhood-aware Scalable Temporal Network Representation Learning

https://github.com/graph-com/nlb

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Scalable and Efficient Temporal Graph Representation Learning via Forward Recent Sampling

https://github.com/graph-com/peg

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Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

https://github.com/graphcore/distributed-kge-poplar

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BESS: Balanced Entity Sampling and Sharing for Large-Scale Knowledge Graph Completion

https://github.com/graphdeeplearning/benchmarking-gnns

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Benchmarking Graph Neural Networks

https://github.com/graphdeeplearning/graphtransformer

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A Generalization of Transformer Networks to Graphs

https://github.com/graphpku/2wl_link_pred

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Two-Dimensional Weisfeiler-Lehman Graph Neural Networks for Link Prediction

https://github.com/graphpku/refined-gae

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Reconsidering the Performance of GAE in Link Prediction

https://github.com/graphpku/tncn

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Efficient Neural Common Neighbor for Temporal Graph Link Prediction

https://github.com/grvndnz/parallel-fnn

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Towards Real-Time Temporal Graph Learning

https://github.com/gsp2014/NaLP

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Link Prediction on N-ary Relational Data Based on Relatedness Evaluation

https://github.com/gstoica27/JRRELP

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Improving Relation Extraction by Leveraging Knowledge Graph Link Prediction

https://github.com/guillaumesalhagalvan/modularity_aware_gae

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Modularity-Aware Graph Autoencoders for Joint Community Detection and Link Prediction

https://github.com/guimaraes13/NeuralLog

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NeuralLog: a Neural Logic Language

https://github.com/gyshgx868/topo-ter

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Self-Supervised Graph Representation Learning via Topology Transformations

https://github.com/hamed1375/exphormer

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Exphormer: Sparse Transformers for Graphs

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