From ddaec8744ef167c69ddeb9a4c9d66aac4850840f Mon Sep 17 00:00:00 2001 From: naganandy Date: Sun, 4 Aug 2024 02:42:02 +0530 Subject: [PATCH] Update README.md --- .../years/2024/publications_ijcai24/README.md | 36 +++++++++++++------ 1 file changed, 26 insertions(+), 10 deletions(-) diff --git a/conference-publications/folders/years/2024/publications_ijcai24/README.md b/conference-publications/folders/years/2024/publications_ijcai24/README.md index 9ab4473f..52679089 100644 --- a/conference-publications/folders/years/2024/publications_ijcai24/README.md +++ b/conference-publications/folders/years/2024/publications_ijcai24/README.md @@ -16,9 +16,15 @@ -# Graph Pooling +# Graph Classification - [Subgraph Pooling: Tackling Negative Transfer on Graphs](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/sppp_ijcai24/README.md) +- [Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/effgc_ijcai24/README.md) + + + +# Kernel Methods - [Kernel Readout for Graph Neural Networks](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/kerread_ijcai24/README.md) +- [Deep Hierarchical Graph Alignment Kernels](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/dhgak_ijcai24/README.md) @@ -31,6 +37,12 @@ +# Data Augmentation +- [EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/epic_ijcai24/README.md) +- [LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/lspan_ijcai24/README.md) + + + # Domain Adaptation - [Joint Domain Adaptive Graph Convolutional Network](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/jdagcn_ijcai24/README.md) - [Rank and Align: Towards Effective Source-free Graph Domain Adaptation](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/rna_ijcai24/README.md) @@ -119,11 +131,17 @@ # Temporal Data - [MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/mftraj_ijcai24/README.md) - [Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/dcst_ijcai24/README.md) -- [Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/predygae_ijcai24/README.md) - [WeatherGNN: Exploiting Meteo- and Spatial-Dependencies for Local Numerical Weather Prediction Bias-Correction](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/weathergnn_ijcai24/README.md) +# Autoencoders +- [Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/predygae_ijcai24/README.md) +- [SVD-AE: Simple Autoencoders for Collaborative Filtering](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/svdae_ijcai24/README.md) +- [Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/structmae_ijcai24/README.md) + + + # Molecules - [Cross-View Contrastive Fusion for Enhanced Molecular Property Prediction](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/molfuse_ijcai24/README.md) - [A Semi-supervised Molecular Learning Framework for Activity Cliff Estimation](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/semimol_ijcai24/README.md) @@ -165,12 +183,14 @@ -# Miscellaneous +# Directed Graphs - [A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic Graphs](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/mddmcs_ijcai24/README.md) -- [LSPAN: Spectrally Localized Augmentation for Graph Consistency Learning](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/lspan_ijcai24/README.md) -- [EPIC: Graph Augmentation with Edit Path Interpolation via Learnable Cost](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/epic_ijcai24/README.md) -- [Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/geonorm_ijcai24/README.md) - [Exploring the Role of Node Diversity in Directed Graph Representation Learning](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/nddgnn_ijcai24/README.md) + + + +# Miscellaneous +- [Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/geonorm_ijcai24/README.md) - [Unified View Imputation and Feature Selection Learning for Incomplete Multi-view Data](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/unifier_ijcai24/README.md) - [Unsupervised Deep Graph Structure and Embedding Learning](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/upgnn_ijcai24/README.md) - [Generalized Taxonomy-Guided Graph Neural Networks](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/tg-gnn_ijcai24/README.md) @@ -178,9 +198,5 @@ - [A Logic for Reasoning about Aggregate-Combine Graph Neural Networks](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/lacgnn_ijcai24/README.md) - [Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/alphazerotabu_ijcai24/README.md) - [CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/conc_ijcai24/README.md) -- [Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/effgc_ijcai24/README.md) -- [SVD-AE: Simple Autoencoders for Collaborative Filtering](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/svdae_ijcai24/README.md) -- [Deep Hierarchical Graph Alignment Kernels](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/dhgak_ijcai24/README.md) - [A Context-Enhanced Framework for Sequential Graph Reasoning](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/cesgr_ijcai24/README.md) -- [Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/structmae_ijcai24/README.md) - [Joint Source Localization in Different Platforms via Implicit Propagation Characteristics of Similar Topics](https://github.com/naganandy/graph-based-deep-learning-literature/blob/master/conference-publications/folders/years/2024/publications_ijcai24/dslf_ijcai24/README.md)