Co-occurring keywords · papers mentioning both
Papers
TopoGCL: Topological Graph Contrastive Learning
AAAI 2024
Towards Foundation Models for Knowledge Graph Reasoning
ICLR 2024
UKnow: A Unified Knowledge Protocol with Multimodal Knowledge Graph Datasets for Reasoning and Vision-Language Pre-Training
NeurIPS 2024
Universal Feature-based Morphological Trees
COLING 2024
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
ICLR 2024
What Matters in Graph Class Incremental Learning? An Information Preservation Perspective
NeurIPS 2024
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
ICML 2023
A Deep Instance Generative Framework for MILP Solvers Under Limited Data Availability
NeurIPS 2023
A Generalization of ViT/MLP-Mixer to Graphs
ICML 2023
AIO-P: Expanding Neural Performance Predictors beyond Image Classification
AAAI 2023
All in a Row: Compressed Convolution Networks for Graphs
ICML 2023
Asymptotics of Network Embeddings Learned via Subsampling
JMLR 2023
Automatic Dialog Flow Extraction and Guidance
EACL 2023
BASiS: Batch Aligned Spectral Embedding Space
CVPR 2023
Benchmarking Graph Neural Networks
JMLR 2023
Biomedical Document Classification with Literature Graph Representations of Bibliographies and Entities
ACL 2023
CADParser: A Learning Approach of Sequence Modeling for B-Rep CAD
IJCAI 2023
Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization
ICLR 2023
Commonsense Knowledge Graph Completion Via Contrastive Pretraining and Node Clustering
ACL 2023
Concept2Box: Joint Geometric Embeddings for Learning Two-View Knowledge Graphs
ACL 2023
Connecting the Dots: What Graph-Based Text Representations Work Best for Text Classification using Graph Neural Networks?
EMNLP 2023
CSGCL: Community-Strength-Enhanced Graph Contrastive Learning
IJCAI 2023
Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
NeurIPS 2023
ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy
NeurIPS 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
NeurIPS 2023