Beyond Clicks Modeling Multi-Relational Item Graph for Session-Based Target Behavior Prediction
BackgroundSession recommendation:
Aiming to predict the next item to be interacted with a user under a specific type of behavior, and modeling user d ...
GHashing Semantic Graph Hashing for Approximate Similarity Search in Graph Databases
Objection：
Retrieve graphs from the database similar enough to a query.
Optimize the pruning stage.
Background:
Graph Edit Distance (GED) is a me ...
Distance Encoding – Design Provably More Powerful Graph Neural Networks for Structural Representation Learning
The problem of GNNs:
传统GNN会被1-WL test 所限制。因为节点都是以度进行区分的。
核心问题：节点分类或者连接预测并不是同构问题，但是GNN是基于WL-test的所以必须要给节点引入特征。
传统的WLtest会根据节点的度来区分节点，就会导致无法区分结构信 ...
Heterogeneous Deep Graph Infomax
Heterogeneous Deep Graph InfomaxAbstractInspired by the emerging mutual information-based learning algorithm, This paper propose an unsupervised graph ...
Redundancy-Free Computation for Graph Neural Networks
Redundancy-Free Computation for Graph Neural NetworksMotivation
To avoid redundant computations：减少冗余计算
HAGs are functionally equivalent to standard G ...
MultiSage: Empowering GCN with Contextualized Multi-Embeddings onWeb-Scale Multipartite Networks
MultiSage: Empowering GCN with Contextualized Multi-Embeddings onWeb-Scale Multipartite Networks
Abstract
Existing GCNs mostly work on homogeneous g ...
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph
AbstractProblem
Most existing HIN-based methods rely on explicit path reachability to leverage path-based semantic relatedness between users and items ...
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